# FewerJobs export - 100 curated jobs Generated: 2026-08-10T07:26:24.606Z Source: https://fewerjobs.com ## Filters applied - **q**: Neural Magic - **quality_floor**: default - **match_401k_strict**: true - **parental_strict**: true - **non_birth_strict**: true - **pto_strict**: true - **include_older**: false - **verified_benefits_only**: true - **apply_url_verified**: false - **page**: 1 - **per_page**: 100 - **sort**: relevance ## Jobs ### Neural Nexus – Data Steward, Data & AI Enablement (AuRA) (Open) - Amgen - Location: India - Hyderabad (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Neural-Nexus---Data-Steward--Data---AI-Enablement--AuRA---Open-_R-240656 - Excerpt: Neural Nexus – Data Steward, Data & AI Enablement (AuRA) (Open) India - Hyderabad posted: Posted 30+ Days Ago ### Neural Nexus – Data Steward, Data & AI Enablement (AuRA) - Amgen - Location: India - Hyderabad (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Neural-Nexus---Data-Steward--Data---AI-Enablement--AuRA-_R-240657 - Excerpt: Neural Nexus – Data Steward, Data & AI Enablement (AuRA) India - Hyderabad posted: Posted 30+ Days Ago ### Manager, Agentic AI Business Solutions, Neural Nexus - Amgen - Location: India - Hyderabad (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Manager--Agentic-AI-Business-Solutions--Neural-Nexus_R-240660 - Excerpt: Manager, Agentic AI Business Solutions, Neural Nexus India - Hyderabad posted: Posted 30+ Days Ago ### Sr. Associate, Agentic AI Business Solutions, Neural Nexus - Amgen - Location: India - Hyderabad (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Sr-Associate--Agentic-AI-Business-Solutions--Neural-Nexus_R-240659 - Excerpt: Sr. Associate, Agentic AI Business Solutions, Neural Nexus India - Hyderabad posted: Posted 30+ Days Ago ### Software Engineer II- AI/ML, AWS Neuron - Amazon - Location: Seattle, Washington, USA (unspecified) - Salary: $144K-$194K - Posted: 2026-03-24 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10375046/software-engineer-ii-ai-ml-aws-neuron - Excerpt: Software Engineer II- AI/ML, AWS Neuron Seattle, Washington, USA The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch and JAX enabling unparalleled ML inference and training performance. The Training Enablement and Foundation team is at the forefront of running a wide range of models and supporting novel architecture alongside maximizing their performance for AWS's custom ML accelerators. Working across the stack from PyTorch till the hardware-software boundary, our engineers build systematic infrastructure, innovate new methods and create high-performance kernels for ML functions, ensuring every compute unit is fine tuned for optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. As part of the broader Neuron organization, our team works across multiple technology layers - from frameworks and kernels and collaborate with compiler to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of ### Applied Scientist, Neuron ARG, Annapurna ML - Amazon - Location: Seattle, Washington, USA (unspecified) - Salary: $143K-$193K - Posted: 2026-05-13 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Surrogacy assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10418948/applied-scientist-neuron-arg-annapurna-ml - Excerpt: Applied Scientist, Neuron ARG, Annapurna ML Seattle, Washington, USA The Automated Reasoning Group in the Amazon Neuron team is looking for an Applied Scientist to work on the intersection of Artificial Intelligence and program analysis to raise the code quality bar in our state-of-the-art deep learning compiler stack. This stack is designed to optimize application models across diverse domains, including Large Language and Vision, originating from leading frameworks such as PyTorch and JAX. Your role will involve working closely with our custom-built Machine Learning accelerator, Trainium, which represents the forefront of innovation for advanced ML capabilities, and is the underpinning of Generative AI. In this role as an Applied Scientist, you'll be instrumental in designing, developing, and deploying analyzers for ML compiler stages and compiler IRs. You will architect and implement business-critical tooling, publish research, and mentor a brilliant team of experienced scientists and engineers. You will need to be technically capable, credible, and curious in your own right as a trusted AWS Neuron engineer, innovating on behalf of our customers. Your responsibilities will involve tackling crucial challenges alongside a talented engineering team, contributing to leading-edge design and research in compiler technology and deep-learning systems software. Strong experience in programming languages, compilers, program analyzers, theorem provers, and program synthesis engines will be a benefit in this role. A background in machine learning and AI accelerators is preferred but not required. Basic Qualifications: - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience ### ML Kernel Performance Engineer, AWS Neuron, Annapurna Labs - Amazon - Location: Cupertino, California, USA (unspecified) - Salary: $165K-$224K - Posted: 2026-03-27 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10378255/ml-kernel-performance-engineer-aws-neuron-annapurna-labs - Excerpt: ML Kernel Performance Engineer, AWS Neuron, Annapurna Labs Cupertino, California, USA The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The Acceleration Kernel Library team is at the forefront of maximizing performance for AWS's custom ML accelerators. Working at the hardware-software boundary, our engineers craft high-performance kernels for ML functions, ensuring every FLOP counts in delivering optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch, enabling unparalleled ML inference and training performance. As part of the broader Neuron Compiler organization, our team works across multiple technology layers - from frameworks and compilers to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology This is an opportunity to work on cutting-edge products at the ### Machine Learning Engineer, AWS Neuron Inference, Annapurna ML - Amazon - Location: Seattle, Washington, USA (unspecified) - Salary: $144K-$194K - Posted: 2025-12-22 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3147714/machine-learning-engineer-aws-neuron-inference-annapurna-ml - Excerpt: Machine Learning Engineer, AWS Neuron Inference, Annapurna ML Seattle, Washington, USA AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the Trn2 and future Trn3 servers that use them. This role is for a software engineer in the Machine Learning Applications (ML Apps) team for AWS Neuron. This role develops, enables and performance tunes building blocks for all key ML model families, including Llama3, GPT OSS, Qwen3, DeepSeek and beyond. The Neuron Inference Technology team works side by side with the Inference Model Enablement, compiler runtime engineers to create, build and tune high-performance distributed inference solutions for the latest generation Trainium accelerators. Experience optimizing LLM inference performance with kernels, Python, PyTorch or JAX is a must. Key job responsibilities This team develops optimized building blocks for the Neuron distributed inference library, tuning them to ensure highest performance and maximize efficiency running on Trn2 and Trn3 servers. A day in the life As you develop technology components, you'll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You'll also participate in design discussions, code review, and communicate with internal and external stakeholders. You will work cross-functionally with teams across Neufon in a fast-paced startup-like development environment, where we constantly stay on top of the latest priorities as the AI landscape evolves. About the team Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an ### Sr. Machine Learning - Compiler Engineer III, AWS Neuron, Annapurna Labs - Amazon - Location: Cupertino, California, USA (unspecified) - Salary: $193K-$262K - Posted: 2026-01-28 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3168926/sr-machine-learning-compiler-engineer-iii-aws-neuron-annapurna-labs - Excerpt: Sr. Machine Learning - Compiler Engineer III, AWS Neuron, Annapurna Labs Cupertino, California, USA The Product: AWS Machine Learning accelerators are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud. Trainium will deliver the best-in-class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by cutting edge software stack, the AWS Neuron Software Development Kit (SDK), which includes an ML compiler, runtime and natively integrates into popular ML frameworks, such as PyTorch, TensorFlow and MxNet. AWS Neuron and Inferentia are used at scale with customers like Snap, Autodesk, Amazon Alexa, Amazon Rekognition and more customers in various other segments. The Team: As a whole, the Amazon Annapurna Labs team is responsible for silicon development at AWS. The team covers multiple disciplines including silicon engineering, hardware design and verification, software and operations. The AWS Neuron team works to optimize the performance of complex neural net models on our custom-built AWS hardware. More specifically, the AWS Neuron team is developing a deep learning compiler stack that takes neural network descriptions created in frameworks such as TensorFlow, PyTorch, and MXNET, and converts them into code suitable for execution. As you might expect, the team is comprised of some of the brightest minds in the engineering, research, and product communities, focused on the ambitious goal of creating a toolchain ### Senior Software Engineer - AI/ML, AWS Neuron Inference - Amazon - Location: Seattle, Washington, USA (unspecified) - Salary: $168K-$227K - Posted: 2026-05-18 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Surrogacy assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10422684/senior-software-engineer-ai-ml-aws-neuron-inference - Excerpt: Senior Software Engineer - AI/ML, AWS Neuron Inference Seattle, Washington, USA AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators. This role is for a senior software engineer in the Machine Learning Inference Applications team. This role is responsible for development and performance optimization of core building blocks of LLM Inference - Attention, MLP, Quantization, Speculative Decoding, Mixture of Experts, etc. The team works side by side with chip architects, compiler engineers and runtime engineers to deliver performance and accuracy on Neuron devices across a range of models. Key job responsibilities Responsibilities of this role include adapting latest research in LLM optimization to Neuron chips to extract best performance from both open source as well as internally developed models. Working across teams and organizations is key. About the team Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Basic Qualifications: - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - 5+ years of programming using a ### Software Development Engineer - AI/ML, Amazon Neuron, Multimodal Inference - Amazon - Location: Seattle, Washington, USA (unspecified) - Salary: $144K-$194K - Posted: 2026-05-08 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10415417/software-development-engineer-ai-ml-amazon-neuron-multimodal-inference - Excerpt: Software Development Engineer - AI/ML, Amazon Neuron, Multimodal Inference Seattle, Washington, USA The Annapurna Labs team at Amazonbuilds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch and JAX enabling unparalleled ML inference and training performance. The Inference Enablement and Acceleration team is at the forefront of running a wide range of models and supporting novel architecture alongside maximizing their performance for AWS's custom ML accelerators. Working across the stack from PyTorch till the hardware-software boundary, our engineers build systematic infrastructure, innovate new methods and create high-performance kernels for ML functions, ensuring every compute unit is fine tuned for optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. As part of the broader Neuron organization, our team works across multiple technology layers - from frameworks and kernels and collaborate with compiler to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection ### Senior Software Development Engineer, AI/ML, AWS Neuron, Model Inference - Amazon - Location: Cupertino, California, USA (unspecified) - Salary: $193K-$262K - Posted: 2025-10-01 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3098687/senior-software-development-engineer-ai-ml-aws-neuron-model-inference - Excerpt: Senior Software Development Engineer, AI/ML, AWS Neuron, Model Inference Cupertino, California, USA The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch and JAX enabling unparalleled ML inference and training performance. The Inference Enablement and Acceleration team is at the forefront of running a wide range of models and supporting novel architecture alongside maximizing their performance for AWS's custom ML accelerators. Working across the stack from PyTorch till the hardware-software boundary, our engineers build systematic infrastructure, innovate new methods and create high-performance kernels for ML functions, ensuring every compute unit is fine tuned for optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. As part of the broader Neuron organization, our team works across multiple technology layers - from frameworks and kernels and collaborate with compiler to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to ### Software Development Engineer AI/ML, Inference Serving, AWS Neuron - Amazon - Location: Cupertino, California, USA (unspecified) - Salary: $193K-$262K - Posted: 2025-09-19 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3089270/software-development-engineer-ai-ml-inference-serving-aws-neuron - Excerpt: Software Development Engineer AI/ML, Inference Serving, AWS Neuron Cupertino, California, USA AWS Neuron is the software stack powering AWS Inferentia and Trainium machine learning accelerators, designed to deliver high-performance, low-cost inference at scale. The Neuron Serving team develops infrastructure to serve modern machine learning models-including large language models (LLMs) and multimodal workloads-reliably and efficiently on AWS silicon. We are seeking a Software Development Engineer to lead and architect our next-generation model serving infrastructure, with a particular focus on large-scale generative AI applications. Key job responsibilities * Architect and lead the design of distributed ML serving systems optimized for generative AI workloads * Drive technical excellence in performance optimization and system reliability across the Neuron ecosystem * Design and implement scalable solutions for both offline and online inference workloads * Lead integration efforts with frameworks such as vLLM, SGLang, Torch XLA, TensorRT, and Triton * Develop and optimize system components for tensor/data parallelism and disaggregated serving * Implement and optimize custom PyTorch operators and NKI kernels * Mentor team members and provide technical leadership across multiple work streams * Drive architectural decisions that impact the entire Neuron serving stack * Collaborate with customers, product owners, and engineering teams to define technical strategy * Author technical documentation, design proposals, and architectural guidelines A day in the life You'll lead critical technical initiatives while mentoring team members. You'll collaborate with cross-functional teams of applied scientists, system engineers, and product managers to architect and deliver state-of-the-art inference capabilities. Your day might involve: * Leading ### Software Development Engineer, AI/ML, AWS Neuron, Model Inference - Amazon - Location: Cupertino, California, USA (unspecified) - Salary: $165K-$224K - Posted: 2025-11-19 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3128924/software-development-engineer-ai-ml-aws-neuron-model-inference - Excerpt: Software Development Engineer, AI/ML, AWS Neuron, Model Inference Cupertino, California, USA The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch and JAX enabling unparalleled ML inference and training performance. The Inference Enablement and Acceleration team is at the forefront of running a wide range of models and supporting novel architecture alongside maximizing their performance for AWS's custom ML accelerators. Working across the stack from PyTorch till the hardware-software boundary, our engineers build systematic infrastructure, innovate new methods and create high-performance kernels for ML functions, ensuring every compute unit is fine tuned for optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. As part of the broader Neuron organization, our team works across multiple technology layers - from frameworks and kernels and collaborate with compiler to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work ### Sr. Software Development Manager - Compiler, AWS Neuron, Annapurna Labs - Amazon - Location: Toronto, Ontario, CAN (unspecified) - Salary: CAD 214K-358K - Posted: 2026-02-05 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3175108/sr-software-development-manager-compiler-aws-neuron-annapurna-labs - Excerpt: Sr. Software Development Manager - Compiler, AWS Neuron, Annapurna Labs Toronto, Ontario, CAN The Product: AWS Machine Learning accelerators are at the forefront of AWS innovation. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in the cloud. Trainium will deliver the best-in-class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by a cutting edge software stack, the AWS Neuron Software Development Kit (SDK), which includes an ML compiler, runtime and natively integrates into popular ML frameworks, such as PyTorch, TensorFlow and MxNet. The Neuron SDK optimizes performance of complex neural net models executed on AWS Inferentia and Trainium. AWS Neuron is used at scale with customers and partners like PyTorch, Epic Games, Snap, AirBnB, Autodesk, Amazon Alexa, Amazon Rekognition and more customers in various other segments. The Team: The Amazon Annapurna Labs team is responsible for building innovation in silicon and software for AWS customers. We are at the forefront of innovation by combining cloud scale with the world's most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design and verification, software and operations. With such breadth of talent, there's opportunity to learn all of the time. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We're inventing. We're experimenting. When you couple that with the ability to work on so many different products and services, it's a very unique learning ### Sr. Software Development Manager - Compiler, AWS Neuron, Annapurna Labs - Amazon - Location: Toronto, Ontario, CAN (unspecified) - Salary: CAD 214K-358K - Posted: 2026-02-05 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3175108/sr-software-development-manager-compiler-aws-neuron-annapurna-labs - Excerpt: Sr. Software Development Manager - Compiler, AWS Neuron, Annapurna Labs Toronto, Ontario, CAN The Product: AWS Machine Learning accelerators are at the forefront of AWS innovation. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in the cloud. Trainium will deliver the best-in-class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by a cutting edge software stack, the AWS Neuron Software Development Kit (SDK), which includes an ML compiler, runtime and natively integrates into popular ML frameworks, such as PyTorch, TensorFlow and MxNet. The Neuron SDK optimizes performance of complex neural net models executed on AWS Inferentia and Trainium. AWS Neuron is used at scale with customers and partners like PyTorch, Epic Games, Snap, AirBnB, Autodesk, Amazon Alexa, Amazon Rekognition and more customers in various other segments. The Team: The Amazon Annapurna Labs team is responsible for building innovation in silicon and software for AWS customers. We are at the forefront of innovation by combining cloud scale with the world's most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design and verification, software and operations. With such breadth of talent, there's opportunity to learn all of the time. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We're inventing. We're experimenting. When you couple that with the ability to work on so many different products and services, it's a very unique learning ### Research Scientist, Robotics, Embodied AI, DeepMind - DeepMind - Location: Mountain View, CA, USA (unspecified) - Salary: $147K-$211K - Posted: 2026-06-04 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckQpFyCqW3nIHT9aA1sg6WL2fBdc1uJ1iApABvQQsEBx7EjsACxwdTK3_2ZHCRHY_Rvd9MZCRMeJxkJXR-lrlIMtQBlFZ5uuKJ8bYNER81VNL2MJPmAx3R734ZRvklw%3D%3D_V2&loc=US&title=Research+Scientist - Excerpt: Research Scientist, Robotics, Embodied AI, DeepMind Mountain View, CA, USA We believe there are many problems in the world in which robotics could play a significant role in making it easier, faster and safer for people to get things done. We're looking for roboticists, designers, hardware and software engineers to help us explore these possibilities, develop breakthrough technologies, and build new products that could help millions of people. At DeepMind Robotics we are pioneering bringing AI to the physical world. We are powering an era of physical agents, enabling robots to perceive, plan, think, use tools, and act to better solve tasks. In this role, you will develop Vision Language Action (VLA) models that combine Gemini's world understanding with physical actions to directly control robots. You will include Gemini Robotics (our Gemini model for the physical world), and Gemini Robotics On-Device (our Gemini model that runs without a data network). You will also develop reasoning and agentic systems for the physical world, including Gemini Robotics-ER, a Gemini agent with spatial understanding. You will enable robots to perform a range of tasks, respond interactively to their environment, achieve dexterity, and reason over long multi-step tasks. You will focus on advancing in areas of general purpose robotics, including real world understanding, action generalization, human robot interaction, whole-body control, and continual learning. Additionally, you will partner with robotics companies to bring this intelligence to applications at scale. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a ### Principal Product Manager, AWS Neurosymbolic AI - Amazon - Location: Seattle, Washington, USA (unspecified) - Salary: $181K-$245K - Posted: 2026-05-13 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10419273/principal-product-manager-aws-neurosymbolic-ai - Excerpt: Principal Product Manager, AWS Neurosymbolic AI Seattle, Washington, USA The AWS Neurosymbolic AI team is pioneering the integration of formal reasoning and neural approaches to build AI systems that are not only powerful, but provably correct. We sit at one of the most compelling frontiers in computer science: the convergence of neural networks and symbolic reasoning, where large language models meet theorem provers, and where probabilistic intelligence meets mathematical certainty. Our mission is to make AI trustworthy at scale. We develop technology that enables AI systems to reason rigorously, verify their own outputs, and provide mathematical guarantees about their behavior. This is a fundamental shift in how AI systems are built, and we believe it's on the critical path to the next generation of safe, reliable AI-powered applications. We are one of the strongest concentrations of neurosymbolic AI talent in industry. Our team includes original contributors to the Lean theorem prover and is advised by Lean's Chief Architect. We bring together researchers and engineers from both the AI and formal methods communities, a combination that is extraordinarily rare and increasingly essential. We build on Amazon's 10+ year track record of bringing automated reasoning to production at scale. AWS pioneered the use of formal methods in cloud infrastructure, from network reachability analysis to cryptographic protocol verification to access policy reasoning, systems that serve hundreds of millions of customers today. Now we're taking the next giant leap: fusing that heritage with frontier AI to make every AI system verifiable, trustworthy, and safe. ### Senior Product Manager, AWS Neurosymbolic AI - Amazon - Location: Boston, Massachusetts, USA (unspecified) - Salary: $152K-$206K - Posted: 2026-05-14 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10420150/senior-product-manager-aws-neurosymbolic-ai - Excerpt: Senior Product Manager, AWS Neurosymbolic AI Boston, Massachusetts, USA The AWS Neurosymbolic AI team is pioneering the integration of formal reasoning and neural approaches to build AI systems that are not only powerful, but provably correct. We sit at one of the most compelling frontiers in computer science: the convergence of neural networks and symbolic reasoning, where large language models meet theorem provers, and where probabilistic intelligence meets mathematical certainty. Our mission is to make AI trustworthy at scale. We develop technology that enables AI systems to reason rigorously, verify their own outputs, and provide mathematical guarantees about their behavior. This is a fundamental shift in how AI systems are built, and we believe it's on the critical path to the next generation of safe, reliable AI-powered applications. We are one of the strongest concentrations of neurosymbolic AI talent in industry. Our team includes original contributors to the Lean theorem prover and is advised by Lean's Chief Architect. We bring together researchers and engineers from both the AI and formal methods communities, a combination that is extraordinarily rare and increasingly essential. We build on Amazon's 10+ year track record of bringing automated reasoning to production at scale. AWS pioneered the use of formal methods in cloud infrastructure, from network reachability analysis to cryptographic protocol verification to access policy reasoning, systems that serve hundreds of millions of customers today. Now we're taking the next giant leap: fusing that heritage with frontier AI to make every AI system verifiable, trustworthy, and safe. ### Software Development Manager - ML Performance Tooling and Benchmarking, AWS Neuron, Annapurna Labs - Amazon - Location: Toronto, Ontario, CAN (unspecified) - Salary: CAD 171K-286K - Posted: 2025-06-11 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3006845/software-development-manager-ml-performance-tooling-and-benchmarking-aws-neuron-annapurna-labs - Excerpt: Software Development Manager - ML Performance Tooling and Benchmarking, AWS Neuron, Annapurna Labs Toronto, Ontario, CAN The Product: AWS Machine Learning accelerators are at the forefront of AWS innovation. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in the cloud. Trainium will deliver the best-in-class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by a cutting edge software stack, the AWS Neuron Software Development Kit (SDK), which includes an ML compiler, runtime and natively integrates into popular ML frameworks, such as PyTorch, TensorFlow and MxNet. The Neuron SDK optimizes performance of complex neural net models executed on AWS Inferentia and Trainium. AWS Neuron is used at scale with customers and partners like PyTorch, Epic Games, Snap, AirBnB, Autodesk, Amazon Alexa, Amazon Rekognition and more customers in various other segments. The Team: The Amazon Annapurna Labs team is responsible for building innovation in silicon and software for AWS customers. We are at the forefront of innovation by combining cloud scale with the world's most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design and verification, software and operations. With such breadth of talent, there's opportunity to learn all of the time. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We're inventing. We're experimenting. When you couple that with the ability to work on so many different products and services, it's a ### Software Development Manager - ML Performance Tooling and Benchmarking, AWS Neuron, Annapurna Labs - Amazon - Location: Toronto, Ontario, CAN (unspecified) - Salary: CAD 171K-286K - Posted: 2025-06-11 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3006845/software-development-manager-ml-performance-tooling-and-benchmarking-aws-neuron-annapurna-labs - Excerpt: Software Development Manager - ML Performance Tooling and Benchmarking, AWS Neuron, Annapurna Labs Toronto, Ontario, CAN The Product: AWS Machine Learning accelerators are at the forefront of AWS innovation. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in the cloud. Trainium will deliver the best-in-class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by a cutting edge software stack, the AWS Neuron Software Development Kit (SDK), which includes an ML compiler, runtime and natively integrates into popular ML frameworks, such as PyTorch, TensorFlow and MxNet. The Neuron SDK optimizes performance of complex neural net models executed on AWS Inferentia and Trainium. AWS Neuron is used at scale with customers and partners like PyTorch, Epic Games, Snap, AirBnB, Autodesk, Amazon Alexa, Amazon Rekognition and more customers in various other segments. The Team: The Amazon Annapurna Labs team is responsible for building innovation in silicon and software for AWS customers. We are at the forefront of innovation by combining cloud scale with the world's most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design and verification, software and operations. With such breadth of talent, there's opportunity to learn all of the time. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We're inventing. We're experimenting. When you couple that with the ability to work on so many different products and services, it's a ### Senior ML Kernel Performance Engineer - Amazon - Location: Toronto, Ontario, CAN (unspecified) - Salary: CAD 151K-252K - Posted: 2025-08-14 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3059954/senior-ml-kernel-performance-engineer - Excerpt: Senior ML Kernel Performance Engineer Toronto, Ontario, CAN The Annapurna Labs team at Amazon builds Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The Acceleration Kernel Library team is at the forefront of maximizing performance for Amazon's custom ML accelerators. Working at the hardware-software boundary, our engineers craft high-performance kernels for ML functions, ensuring every FLOP counts in delivering optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. The Amazon Neuron SDK, developed by the Annapurna Labs team at Amazon, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch, enabling unparalleled ML inference and training performance. As part of the broader Neuron Compiler organization, our team works across multiple technology layers - from frameworks and compilers to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology This is an opportunity to work on cutting-edge products at the intersection of machine-learning, high-performance computing, and distributed ### Applied Scientist, Edge AI and Science - Amazon - Location: Cambridge, England, GBR (unspecified) - Salary: Not disclosed - Posted: 2026-06-08 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10442934/applied-scientist-edge-ai-and-science - Excerpt: Applied Scientist, Edge AI and Science Cambridge, England, GBR Amazon Devices is an inventive research and development company that designs and engineers high-profile devices like the Kindle family of products, Fire Tablets, Fire TV, Health & Wellness, Amazon Echo, and Astro products. This is an exciting opportunity to bring generative AI to Amazon's consumer products, both on-device at the edge and in the cloud. Our compression platform delivers 20x to 100x neural network compression, but using it well still takes weeks of hands-on learning and expert intuition. The Edge AI Model Studio team exists to change that. We become the expert users so partner teams don't have to: we turn compression science into reliable, production workflows, and we package the results into a library of compression-ready student architectures that partners can run on their own. Our north star is simple. Training-to-deployment should feel like pushing a button, not a month-long science project. We are looking for an Applied Scientist to join Model Studio and help compress the next generation of models for edge and cloud deployment across modalities, including large language models, vision-language models, speech and audio models, and omni models that reason jointly over text, audio, and video. You will apply and extend state-of-the-art compression recipes to real models, define the benchmarks and evaluation methodology that make trade-offs explicit, and build the reference implementations that let other teams deploy compressed models without our help. You will work backwards from deployment constraints such as memory, latency, throughput, power, and cost, ### ML Kernel Performance Engineer, Edge AI and Science - Amazon - Location: Vancouver, British Columbia, CAN (unspecified) - Salary: CAD 115K-192K - Posted: 2026-06-02 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10437525/ml-kernel-performance-engineer-edge-ai-and-science - Excerpt: ML Kernel Performance Engineer, Edge AI and Science Vancouver, British Columbia, CAN Amazon Devices is an inventive research and development company that designs and engineers high-profile consumer products like the Kindle family, Fire Tablets, Fire TV, Health & Wellness devices, Amazon Echo, and Astro. We are building the next generation of edge AI capabilities through our advanced compression platform and custom neural accelerator silicon. Within Edge AI & Science, the AI Platform team builds a compression platform-the first of its kind-enabling 20-100x neural network compression for edge and cloud deployment. As model sizes grow from billions to hundreds of billions of parameters, compute efficiency becomes the single largest return on engineering investment during training. The gap between eager-mode Python and optimized GPU execution is where months of training time are won or lost. We are looking for an ML Kernel Performance Engineer to work at the hardware-software boundary of this platform, crafting high-performance CUDA and Triton kernels that make our compression algorithms run at peak efficiency during training, fine-tuning, and inference. You will build the tooling and kernel libraries that democratize GPU performance optimization across the team, enabling scientists and engineers to profile, diagnose, and fix kernel bottlenecks without needing to be CUDA experts themselves. Working alongside compression scientists and platform engineers, you will ensure that novel quantization schemes (ternary, nonary, mixed-precision) and sparse computation patterns translate into real throughput gains on GPU hardware. Your work will directly accelerate every training run in the organization and unlock deployment of compressed ### Senior Machine Learning Compiler Engineer - Amazon - Location: Seattle, Washington, USA (unspecified) - Salary: $168K-$227K - Posted: 2025-08-08 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Surrogacy assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3055111/senior-machine-learning-compiler-engineer - Excerpt: Senior Machine Learning Compiler Engineer Seattle, Washington, USA The Product: Annapurna Labs Machine Learning accelerators are at the forefront of Amazon's innovation and one of several Amazon's tools used for building Generative AI on Amazon. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud. Trainium will deliver the best-in-class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by cutting edge software stack, the Amazon Neuron Software Development Kit (SDK), which includes an ML compiler, runtime and natively integrates into popular ML frameworks, such as PyTorch, TensorFlow and MxNet. Amazon Neuron and Inferentia are used at scale with customers like Snap, Autodesk, Amazon Alexa, Amazon Rekognition and more customers in various other segments. The Team: As a whole, the Amazon Annapurna Labs team is responsible for silicon development at Amazon. The team covers multiple disciplines including silicon engineering, hardware design and verification, software and operations. The Amazon Neuron team works to optimize the performance of complex neural net models on our custom-built Amazon hardware. More specifically, the Amazon Neuron team is developing a deep learning compiler stack that takes neural network descriptions created in frameworks such as TensorFlow, PyTorch, and MXNET, and converts them into code suitable for execution. As you might expect, the team is comprised of some of the brightest minds in the engineering, research, and product communities, focused on the ambitious goal of creating a toolchain that will provide a quantum ### Machine Learning - Compiler Engineer II, Annapurna Labs - Amazon - Location: Seattle, Washington, USA (unspecified) - Salary: $144K-$194K - Posted: 2026-05-13 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Surrogacy assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10418953/machine-learning-compiler-engineer-ii-annapurna-labs - Excerpt: Machine Learning - Compiler Engineer II, Annapurna Labs Seattle, Washington, USA The Product: AWS Machine Learning accelerators are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud. Trainium will deliver the best-in-class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by cutting edge software stack, the AWS Neuron Software Development Kit (SDK), which includes an ML compiler, runtime and natively integrates into popular ML frameworks, such as PyTorch, TensorFlow and MxNet. AWS Neuron and Inferentia are used at scale with customers like Snap, Autodesk, Amazon Alexa, Amazon Rekognition and more customers in various other segments. The Team: As a whole, the Amazon Annapurna Labs team is responsible for silicon development at AWS. The team covers multiple disciplines including silicon engineering, hardware design and verification, software and operations. The AWS Neuron team works to optimize the performance of complex neural net models on our custom-built AWS hardware. More specifically, the AWS Neuron team is developing a deep learning compiler stack that takes neural network descriptions created in frameworks such as TensorFlow, PyTorch, and MXNET, and converts them into code suitable for execution. As you might expect, the team is comprised of some of the brightest minds in the engineering, research, and product communities, focused on the ambitious goal of creating a toolchain that will provide ### Senior AI Machine Learning Engineer - SAP - Location: Country Canada | Internal Posting Location Montreal (unspecified) - Salary: Not disclosed - Posted: 2026-06-12 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://jobs.sap.com/job/Montreal-Senior-AI-Machine-Learning-Engineer-Queb-H3B-0B3/1371744233/ - Excerpt: Senior AI Machine Learning Engineer Country Canada | Internal Posting Location Montreal We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. About the Role We are hiring a Senior Machine Learning Engineer Scientist to lead the development of scalable graph-based and transformer-based modeling systems, along with production-grade ML pipelines. This role sits at the intersection of research and systems engineering and will help shape the next generation of relational foundation model for structured data. You will own key architecture decisions, mentor engineers and researchers, and build high-performance ML systems that operate reliably at scale. What You'll Do Technical Leadership. Architect and drive the scalable development of foundation model for relational and graph data. · Design high-performance data pipelines for large-scale graph, relational, and tabular datasets. · Establish best practices for experimentation, reproducibility, evaluation, and deployment. · Define and execute the technical roadmap for ML infrastructure and modeling frameworks. Geometric ML Knowledge · Develop and optimize: o Graph Neural Networks ( ### Machine Learning Compiler Engineer - Amazon - Location: Cupertino, California, USA (unspecified) - Salary: $165K-$224K - Posted: 2025-11-30 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3134054/machine-learning-compiler-engineer - Excerpt: Machine Learning Compiler Engineer Cupertino, California, USA The Product: Amazon's Machine Learning accelerators are at the forefront of our innovation and one of several Amazon's tools used for building Generative AI on Amazon. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud. Trainium will deliver the best-in-class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by cutting edge software stack, the Amazon Neuron Software Development Kit (SDK), which includes an ML compiler, runtime and natively integrates into popular ML frameworks, such as PyTorch, TensorFlow and MxNet. Amazon Neuron and Inferentia are used at scale with customers like Snap, Autodesk, Amazon Alexa, Amazon Rekognition and more customers in various other segments. The Team: As a whole, the Amazon Annapurna Labs team is responsible for silicon development at Amazon. The team covers multiple disciplines including silicon engineering, hardware design and verification, software and operations. The Amazon Neuron team works to optimize the performance of complex neural net models on our custom-built Amazon hardware. More specifically, the AWS Neuron team is developing a deep learning compiler stack that takes neural network descriptions created in frameworks such as TensorFlow, PyTorch, and MXNET, and converts them into code suitable for execution. As you might expect, the team is comprised of some of the brightest minds in the engineering, research, and product communities, focused on the ambitious goal of creating a toolchain that will provide a quantum leap in ### Senior Security Engineer, AI/ML, National Security, Public Sector - Google - Location: Washington D.C., DC, USA; +1 more (unspecified) - Salary: $174K-$253K - Posted: 2026-06-10 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckabETc9_I7wr8cITLIrh6Dk_s-l0nj32WHYCVz37fkGAEjsACxwdTDzddfIAX66mN-jeIVG8rzMB5YS-ycNaa75v5682F1L8iw7w6_HELYRDGVjEIFauwU6VQ-ZQog%3D%3D_V2&loc=US&title=Senior+Security+Engineer - Excerpt: Senior Security Engineer, AI/ML, National Security, Public Sector Washington D.C., DC, USA; +1 more Our Security team works to create and maintain the safest operating environment for Google's users and developers. Security Engineers work with network equipment and actively monitor our systems for attacks and intrusions. In this role, you will also work with software engineers to proactively identify and fix security flaws and vulnerabilities. In this role, you will help us build the most resilient AI infrastructure in the world. This role is designed for a technical expert in Artificial Intelligence and Machine Learning, with a primary interest in how those systems can be defended against adversarial manipulation. You will be responsible for the security configuration of AI deployments, from local on-prem GPU clusters to cloud-native environments. You will understand the nuances of LLMs, neural networks, and containerized ML pipelines, and will apply that knowledge to the frontier of security. You will have an understanding of how Large Language Models (LLMs) work under the hood and to develop the next generation of automated defenses and adversarial testing frameworks. Google Public Sector brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their digital transformations, and we continue to make significant investments and grow our team to meet the complex needs of local, state and federal government and educational institutions.Individual pay is determined by factors including job-related skills, experience, and relevant education or ### Sr. Applied Scientist, Pricing Science - Amazon - Location: Seattle, Washington, USA (unspecified) - Salary: $167K-$226K - Posted: 2026-01-04 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Surrogacy assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3151585/sr-applied-scientist-pricing-science - Excerpt: Sr. Applied Scientist, Pricing Science Seattle, Washington, USA We are looking for a talented, organized, and customer-focused applied researcher to join our Pricing Optimization science group, with a charter to measure, refine, and launch customer-obsessed improvements to our algorithmic pricing and promotion models across all products listed on Amazon. This role requires an individual with exceptional machine learning modeling and architecture expertise - particularly in deep learning, neural networks, and transformer-based architectures applied to price prediction and forecasting problems. The ideal candidate brings a strong foundation in applied statistics and probabilistic modeling, excellent cross-functional collaboration skills, business acumen, and an entrepreneurial spirit. We are looking for an experienced innovator who is a self-starter, comfortable with ambiguity, demonstrates strong attention to detail, and has the ability to work in a fast-paced and ever-changing environment. Key job responsibilities See the big picture. Understand and influence the long-term vision for Amazon's science-based competitive, perception-preserving pricing techniques. Develop and advance price prediction models leveraging deep learning frameworks, transformer architectures, and advanced statistical methods to drive pricing accuracy at scale. Build strong collaborations. Partner with product, engineering, and science teams within Pricing & Promotions to deploy machine learning price estimation and error correction solutions at Amazon scale. Design and implement neural network-based architectures - including sequence models and transformers - for large-scale price prediction and optimization. Stay informed. Establish mechanisms to stay up to date on the latest scientific advancements in deep learning, transformer architectures, applied statistics, neural network design, probabilistic forecasting, and multi-objective optimization ### Senior Applied ML Engineer, Graph Neural Network, ML Frontiers - Google - Location: Zürich, Switzerland (unspecified) - Salary: Not disclosed - Posted: 2026-06-04 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckWG9tcZdu7c5U_lcGGYInV_WEB9DaqNnmesSxMk30dKSEjsACxwdTDUuL8utGIjJlqsHC3GKKO1QYvkjg_REvjCIPEYxamUOCeWhcIl3mX2yn4c8TkNqhTImmODFNQ%3D%3D_V2&loc=CH&title=Senior+Applied+ML+Engineer - Excerpt: Senior Applied ML Engineer, Graph Neural Network, ML Frontiers Zürich, Switzerland Google Cloud's mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren't just building technology; you're shaping the frontier of enterprise and driving the evolution of advanced models. In this role, you will help define new features based on client interactions and your own research. When a new feature or idea is identified, you will take technical leadership of it. This includes validating the idea through literature reviews and experiments, implementing it efficiently for target hardware (CPU, GPU, TPU, or distributed systems), and productionizing it into Graph Flow as an easy-to-use, modular component. Discovering new features and ideas requires constant exploration, brainstorming with our team and research collaborators, and gathering client feedback. You will also mentor and help grow other engineers, research students, and interns. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Develop feature development (design, coding, doc writing, and maintenance), ### Executive Policy Engagement Lead, DeepMind - DeepMind - Location: London, UK (unspecified) - Salary: Not disclosed - Posted: 2026-05-29 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckVxvMY3uqanu9SOD6Deq2TEevdb3KGvWewG65rnof2OKEjoACxwdTA0VtcFhp5zH6C7kUB6wAAqNLhPvBIAXOyp92zaFdhjk9gbGLcUkfMDVw4J690QIM_IuIAq-_V2&loc=GB&title=Executive+Policy+Engagement+Lead - Excerpt: Executive Policy Engagement Lead, DeepMind London, UK In this role, you will be an experienced leader to co-design and scale DeepMind's Executive Policy Engagement function. You will help to set and drive the strategy for how DeepMind's executives build trust with governments and policymakers. You will own long-term engagement plans, brief and staff our executives for high-stakes events, and help to build an executive policy engagement function. You are an autonomous leader with advisory experience, operating expertly at the intersection of policy, communications, and executive management. You will collaborate closely and build trust with leaders in partner teams, including Communications and multiple executive offices. Artificial intelligence will be one of humanity's most transformative inventions. At DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Partner with leadership to build the executive policy engagement function. Own, design, and execute bespoke, long-term engagement strategies for our growing executive portfolio. Serve as the primary on-the-ground counsel for executives during international travel, providing real-time political insights and navigating stakeholder dynamics at major global forums. Draft researched briefing materials, speech content, and policy narratives to ensure ### Applied Scientist II - AMZ9890756 - Amazon - Location: San Diego, California, USA (unspecified) - Salary: $143K-$193K - Posted: 2026-05-24 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10428969/applied-scientist-ii-amz9890756 - Excerpt: Applied Scientist II - AMZ9890756 San Diego, California, USA MULTIPLE POSITIONS AVAILABLE Employer: AMAZON.COM SERVICES LLC Offered Position: Applied Scientist II Job Location: San Diego, California Job Number: AMZ9890756 Position Responsibilities: Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning (ML) and/or natural language (NL) applications. Develop and/or apply statistical modeling techniques (e.g. Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications in business and engineering. Routinely build and deploy ML models on available data. Research and implement novel ML and statistical approaches to add value to the business. Mentor junior engineers and scientists. 40 hours / week, 8:00am-5:00pm, Salary Range: $142,800/year to $193,200/year. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, visit: https://www.aboutamazon.com/workplace/employee-benefits. Amazon.com is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.#0000 Basic Qualifications: Position Requirements: Master's degree or foreign equivalent degree in Computer Science, Machine Learning, Statistics, or a related field and one year of research or work experience in the job offered or as a Research Scientist, Research Assistant, Software Engineer, or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent degree in Computer Science, Machine Learning, Statistics, or a related ### Sr. SDM, AI Inference Technology, Neuron SDK - Amazon - Location: Seattle, Washington, USA (unspecified) - Salary: $253K-$342K - Posted: 2025-06-16 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3009701/sr-sdm-ai-inference-technology-neuron-sdk - Excerpt: Sr. SDM, AI Inference Technology, Neuron SDK Seattle, Washington, USA AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon Elastic Compute Cloud (EC2), to new product innovations that continue to set AWS's services and features apart in the industry. Come develop inference acceleration for AWS Neuron, the complete software stack for Trainium, Amazon's custom cloud-scale machine learning accelerators that power the latest AI models As the Sr. SDM for the Inference Technology Team, you will lead a strong team of managers and engineers to build fundamental inference technology building blocks and libraries to enable AI developers to optimize model for inference on Trainium and Inferentia devices. You will be responsible for the full development life cycle of inference library and feature development, including reliability and scalability. You will develop the Neuronx_Distributed Inference Libraries and contribute to other popular open source Inference Libraries, enabling customers to optimize LLMs, multimodal, and generative models. The ideal candidate will have an established background in delivering AI feature support for demanding, fast-changing priorities or delivering high-performance models using distributed inference libraries. The ideal candidate should have a strong technical ability to understand and manage a vertically integrated system stack that consisting of hardware, frameworks, and workflows. A day in the life You will work with the executive leadership and other senior management and technical leaders to define product directions and deliver them to customers. We build massive-scale distributed training and inference solutions, developing the full stack of software, servers and ### Sr. ML Kernel Performance Engineer, AWS Neuron, Annapurna Labs - Amazon - Location: Cupertino, California, USA (unspecified) - Salary: $193K-$262K - Posted: 2025-08-14 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3059992/sr-ml-kernel-performance-engineer-aws-neuron-annapurna-labs - Excerpt: Sr. ML Kernel Performance Engineer, AWS Neuron, Annapurna Labs Cupertino, California, USA The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The Acceleration Kernel Library team is at the forefront of maximizing performance for AWS's custom ML accelerators. Working at the hardware-software boundary, our engineers craft high-performance kernels for ML functions, ensuring every FLOP counts in delivering optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch, enabling unparalleled ML inference and training performance. As part of the broader Neuron Compiler organization, our team works across multiple technology layers - from frameworks and compilers to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology This is an opportunity to work on cutting-edge products at ### Sr. Applied Scientist, SSG Science - Amazon - Location: Bengaluru, Karnataka, IND (unspecified) - Salary: Not disclosed - Posted: 2025-10-28 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3116520/sr-applied-scientist-ssg-science - Excerpt: Sr. Applied Scientist, SSG Science Bengaluru, Karnataka, IND Amazon Devices is an inventive research and development company that designs and engineer high-profile devices like the Kindle family of products, Fire Tablets, Fire TV, Health Wellness, Amazon Echo & Astro products. This is an exciting opportunity to join Amazon in developing state-of-the-art techniques that bring Gen AI on edge for our consumer products. We are looking for exceptional scientists to join our Applied Science team and help develop the next generation of edge models, and optimize them while doing co-designed with custom ML HW based on a revolutionary architecture. Work hard. Have Fun. Make History. Key job responsibilities What will you do? - Quantize, prune, distill, finetune Gen AI models to optimize for edge platforms - Fundamentally understand Amazon's underlying Neural Edge Engine to invent optimization techniques - Analyze deep learning workloads and provide guidance to map them to Amazon's Neural Edge Engine - Use first principles of Information Theory, Scientific Computing, Deep Learning Theory, Non Equilibrium Thermodynamics - Train custom Gen AI models that beat SOTA and paves path for developing production models - Collaborate closely with compiler engineers, fellow Applied Scientists, Hardware Architects and product teams to build the best ML-centric solutions for our devices - Publish in open source and present on Amazon's behalf at key ML conferences - NeurIPS, ICLR, MLSys. Basic Qualifications: - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience ### Research Scientist, Robotics, DeepMind - DeepMind - Location: Cambridge, MA, USA (unspecified) - Salary: $147K-$211K - Posted: 2026-06-12 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckQx_i4WU6SWHgKivWRKzYfFCgj8ZZIPOO_y1cUTWJgOxEjsACxwdTP5fMhuSb6SqeNplEvnfwqezB3rl4Dhvc4cTAJgTwpznNnctmCpHXAo5VDBnfbxcGLIiPInmpg%3D%3D_V2&loc=US&title=Research+Scientist - Excerpt: Research Scientist, Robotics, DeepMind Cambridge, MA, USA We believe there are many problems in the world in which robotics could play a significant role in making it easier, faster and safer for people to get things done. We're looking for roboticists, designers, hardware and software engineers to help us explore these possibilities, develop breakthrough technologies, and build new products that could help millions of people. At Google DeepMind Robotics, we are pioneering the integration of AI into the physical world to power an era of physical agents. By enabling robots to perceive, plan, think, use tools, and act, we empower them to solve increasingly tasks. In this role, you will focus on building foundation models, such as advanced vision-language-action (VLA) models, which combine Gemini's world understanding with physical actions to provide direct robotic control. These include Gemini Robotics, our most advanced Gemini model for the physical world, and Gemini Robotics On-Device, our fastest Gemini model that functions without a data network. These models allow robots to perform a broad range of tasks, respond interactively to their environment, achieve high dexterity, and reason over long, multi-step sequences. Beyond model building, we are committed to advancing general-purpose robotics, specifically in areas like agentic reasoning, real-world understanding, action generalization, human-robot interaction, dexterity, whole-body control, and continual learning. To deploy these innovations at scale, you will partner with key robotics companies to bring this intelligence to the physical world across a broad array of applications. Artificial intelligence will be one of humanity's most transformative ### Applied Scientist II - AMZ9970940 - Amazon - Location: New York, New York, USA (unspecified) - Salary: $172K-$223K - Posted: 2026-05-20 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10425611/applied-scientist-ii-amz9970940 - Excerpt: Applied Scientist II - AMZ9970940 New York, New York, USA MULTIPLE POSITIONS AVAILABLE Employer: AMAZON.COM SERVICES LLC Offered Position: Applied Scientist II Job Location: New York, New York Job Number: AMZ9970940 Position Responsibilities: Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning (ML) and/or natural language (NL) applications. Develop and/or apply statistical modeling techniques (e.g. Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications in business and engineering. Routinely build and deploy ML models on available data. Research and implement novel ML and statistical approaches to add value to the business. Mentor junior engineers and scientists. 40 hours / week, 8:00am-5:00pm, Salary Range: $172,400/year to $223,400/year. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, visit: https://www.aboutamazon.com/workplace/employee-benefits. Amazon.com is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.#0000 Basic Qualifications: Position Requirements: Master's degree or foreign equivalent degree in Computer Science, Machine Learning, Statistics, or a related field and one year of research or work experience in the job offered or as a Research Scientist, Research Assistant, Software Engineer, or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent degree in Computer Science, Machine Learning, Statistics, or ### Applied Scientist III - AMZ9898584 - Amazon - Location: Boston, Massachusetts, USA (unspecified) - Salary: $167K-$226K - Posted: 2026-04-28 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10405965/applied-scientist-iii-amz9898584 - Excerpt: Applied Scientist III - AMZ9898584 Boston, Massachusetts, USA MULTIPLE POSITIONS AVAILABLE Employer: AMAZON DEVELOPMENT CENTER U.S., INC. Offered Position: Applied Scientist III Job Location: Boston, Massachusetts Job Number: AMZ9898584 Position Responsibilities: Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning (ML) and/or natural language (NL) applications. Develop and/or apply statistical modeling techniques (e.g. Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications in business and engineering. Routinely build and deploy ML models on available data, and run and analyze experiments in a production environment. Identify new opportunities for research in order to meet business goals. Research and implement novel ML and statistical approaches to add value to the business. Mentor junior engineers and scientists. Position Requirements: Master's degree or foreign equivalent degree in Computer Science, Machine Learning, Engineering, or a related field and two years of research or work experience in the job offered, or as a Research Scientist, Research Assistant, Software Engineer, or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent degree in Computer Science, Machine Learning, Engineering, or a related field and five years of progressive post-baccalaureate research or work experience in the job offered or a related occupation as equivalent to the Master's degree and two years of research or work experience. Must have one year of research or work experience in the following skill(s): (1) programming in Java, C++, Python, or equivalent programming language; and (2) conducting ### Principal Applied Scientist, Neuro-Symbolic AI Labs - Amazon - Location: Boston, Massachusetts, USA (unspecified) - Salary: $199K-$269K - Posted: 2026-04-27 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10404529/principal-applied-scientist-neuro-symbolic-ai-labs - Excerpt: Principal Applied Scientist, Neuro-Symbolic AI Labs Boston, Massachusetts, USA We are looking for researchers who aim to build super-intelligent AI systems that leverage proof assistants to guide learning and reasoning. Our neuro-symbolic AI technology is applied across a wide range of science and engineering domains within Amazon, and you will join the team at the forefront of this research. As a Principal Applied Scientist, you will play a pivotal role in shaping the definition, vision, and development of product features from beginning to end. You will: - Define and implement new neuro-symbolic applications that employ scalable and efficient approaches to solve complex problems. - Work in an agile, startup-like development environment, where you are always working on the most important stuff. - Deliver high-quality scientific artifacts. About the team We work closely with academia. Our team includes an Amazon Scholar in mathematics, and we maintain active research collaborations with faculty at leading CS departments (MIT, Berkeley, CMU). Basic Qualifications: - Experience programming in Java, C++, Python or related language - Experience with leading experienced scientists as well as having a record of developing junior members from academia or industry to a career track in a business environment - PhD, or Master's degree and 8+ years of applied research experience Preferred Qualifications: - 10+ years of relevant work in industry or academia experience - Experience creating novel algorithms and advancing the state of the art - Have peer-reviewed scientific contributions in premier journals and conferences Amazon is an equal opportunity employer ### Robotics Hardware Industrialization Engineer, DeepMind - DeepMind - Location: Mountain View, CA, USA (unspecified) - Salary: $212K-$231K - Posted: 2026-06-09 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckX5Giy7xPdatXpPLjZ8jj0quWTGIYsM5IDPkt3oPrA_zEjsACxwdTI71lXYy-t5KLF3PblPYdN29Vomx6R5LE7fUs9_DuU1VKklzyCorYcCC_0BTOJoLDRIqOQepkQ%3D%3D_V2&loc=US&title=Robotics+Hardware+Industrialization+Engineer - Excerpt: Robotics Hardware Industrialization Engineer, DeepMind Mountain View, CA, USA Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. The Embodied Systems team is the new hardware-centric group within Deepmind Robotics. Our mission is to accelerate AI research in the physical domain through the world's most advanced robotics systems. You will be joining on the ground floor of our hardware operations, meaning your fingerprints will be on the processes, products and relationships that we forge. As a mechanically-capable Industrialization Engineer, you will join our robotic Engineering Operations team within Deepmind. The Industrialization Engineer bridges the gap between robotics research goal and scalable data collection in a laboratory environment. You will transform advanced research testing concepts into actionable designs and processes for our data collection humanoid laboratories. You will require collaboration with Research and Development, facilities, supply chain, and engineering teams to optimize robot operations, reduce costs, and optimize system reliability. You will be the first point of contact for any test cell design-related topics, and an authority on process control and DFM (Design For Manufacture)/DFX (Design For excellence) approaches. You will work with the engineering and development teams to define the functional hardware and processes that lead to a highly productive and scalable laboratory environment where a multitude of humanoid robots are operating, ### Data Scientist II - AMZ9774210 - Amazon - Location: New York, New York, USA (unspecified) - Salary: $170K-$208K - Posted: 2026-04-06 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10384056/data-scientist-ii-amz9774210 - Excerpt: Data Scientist II - AMZ9774210 New York, New York, USA MULTIPLE POSITIONS AVAILABLE Employer: AMAZON DEVELOPMENT CENTER U.S., INC. Offered Position: Data Scientist II Job Location: New York, New York Job Number: AMZ9774210 Position Responsibilities: Design and implement scalable and reliable approaches to support or automate decision making throughout the business. Apply a range of data science techniques and tools combined with subject matter expertise to solve difficult business problems and cases in which the solution approach is unclear. Acquire data by building the necessary SQL / ETL queries. Import processes through various company specific interfaces for accessing Oracle, RedShift, and Spark storage systems. Build relationships with stakeholders and counterparts. Analyze data for trends and input validity by inspecting univariate distributions, exploring bivariate relationships, constructing appropriate transformations, and tracking down the source and meaning of anomalies. Build models using statistical modeling, mathematical modeling, econometric modeling, network modeling, social network modeling, natural language processing, machine learning algorithms, genetic algorithms, and neural networks. Validate models against alternative approaches, expected and observed outcome, and other business defined key performance indicators. Implement models that comply with evaluations of the computational demands, accuracy, and reliability of the relevant ETL processes at various stages of production. Position Requirements: Master's degree or foreign equivalent degree in Statistics, Applied Mathematics, Economics, Engineering, Computer Science, or a related field and one year of experience in the job offered or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent degree in Statistics, Applied Mathematics, Economics, Engineering, Computer ### Data Scientist II - AMZ24268.1 - Amazon - Location: New York, New York, USA (unspecified) - Salary: $170K-$208K - Posted: 2026-05-01 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10408859/data-scientist-ii-amz24268-1 - Excerpt: Data Scientist II - AMZ24268.1 New York, New York, USA Employer: Metro-Goldwyn-Mayer Studios Inc. Position: Data Scientist II Location: New York, NY Multiple Positions Available: Design and implement scalable and reliable approaches to support or automate decision making throughout the business. Apply a range of data science techniques and tools combined with subject matter expertise to solve difficult business problems and cases in which the solution approach is unclear. Acquire data by building the necessary SQL / ETL queries. Import processes through various company specific interfaces for accessing Oracle, RedShift, and Spark storage systems. Build relationships with stakeholders and counterparts. Analyze data for trends and input validity by inspecting univariate distributions, exploring bivariate relationships, constructing appropriate transformations, and tracking down the source and meaning of anomalies. Build models using statistical modeling, mathematical modeling, econometric modeling, network modeling, social network modeling, natural language processing, machine learning algorithms, genetic algorithms, and neural networks. Validate models against alternative approaches, expected and observed outcome, and other business defined key performance indicators. Implement models that comply with evaluations of the computational demands, accuracy, and reliability of the relevant ETL processes at various stages of production. (40 hours / week, 8:00am-5:00pm, Salary Range $169541 - $207500) Amazon.com is an Equal Opportunity - Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation Basic Qualifications: Master's degree or foreign equivalent degree in Statistics, Applied Mathematics, Economics, Engineering, Computer Science, or a related field and one year of experience in the ### Software Engineer- AI/ML, AWS Neuron - Amazon - Location: Cupertino, California, USA (unspecified) - Salary: $165K-$224K - Posted: 2025-10-18 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Surrogacy assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3111834/software-engineer-ai-ml-aws-neuron - Excerpt: Software Engineer- AI/ML, AWS Neuron Cupertino, California, USA AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the Trn1 and Inf1 servers that use them. This role is for a software engineer in the Machine Learning Applications (ML Apps) team for AWS Neuron. This role is responsible for development, enablement and performance tuning of a wide variety of ML model families, including massive scale large language models like LLama4, Mixtral, DBRX and beyond, as well as stable diffusion, Vision Transformers and many more. The Distributed training team works side by side with chip architects, compiler engineers and runtime engineers to create , build and tune distributed training solutions with Trainium. Experience training these large models using Python is a must. FSDP, Deepspeed and other distributed training libraries are central to this and extending all of this for the Neuron based system is key. Key job responsibilities This role will help lead the efforts building distributed training support into Pytorch and Jax using XLA and the Neuron compiler and runtime stacks. This role will help tune these models to ensure highest performance and maximize the efficiency of them running on the customer AWS Trainium . Strong software development and ML knowledge are both critical to this role. About the team About Us Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over ### Senior Applied Scientist, Neuro-Symbolic AI Labs - Amazon - Location: Boston, Massachusetts, USA (unspecified) - Salary: $167K-$226K - Posted: 2026-05-05 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10411143/senior-applied-scientist-neuro-symbolic-ai-labs - Excerpt: Senior Applied Scientist, Neuro-Symbolic AI Labs Boston, Massachusetts, USA We are looking for researchers who aim to build super-intelligent AI systems that leverage proof assistants to guide learning and reasoning. Our neuro-symbolic AI technology is applied across a wide range of science and engineering domains within Amazon, and you will join the team at the forefront of this research. As an Applied Scientist here, you will play a pivotal role in shaping the definition, vision, and development of product features from beginning to end. You will: * Define and implement new neuro-symbolic applications that employ scalable and efficient approaches to solve complex problems. * Work in an agile, startup-like development environment, where you are always working on the most important stuff. * Deliver high-quality scientific artifacts. About the team We work closely with academia. Our team includes an Amazon Scholar in mathematics, and we maintain active research collaborations with faculty at leading CS departments (MIT, Berkeley, CMU). Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and ### 2026 Fall Applied Science Internship - Gen AI & Large Language Models - United States, PhD Student Science Recruiting - Amazon - Location: Seattle, Washington, USA (unspecified) - Salary: $143K-$193K - Posted: 2026-04-17 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10394934/2026-fall-applied-science-internship-gen-ai-large-language-models-united-states-phd-student-science-recruiting - Excerpt: 2026 Fall Applied Science Internship - Gen AI & Large Language Models - United States, PhD Student Science Recruiting Seattle, Washington, USA Revolutionize the Future of AI at the Frontier of Applied Science Are you a brilliant mind seeking to push the boundaries of what's possible with artificial intelligence? Join our elite team of researchers and engineers at the forefront of applied science, where we're harnessing the latest advancements in natural language processing, deep learning, and generative AI to reshape industries and unlock new realms of innovation. As an Applied Science Intern, you'll have the unique opportunity to work alongside world-renowned experts, gaining invaluable hands-on experience with cutting-edge technologies such as large language models, transformers, and neural networks. You'll dive deep into complex challenges, fine-tuning state-of-the-art models, developing novel algorithms for named entity recognition, and exploring the vast potential of generative AI. This internship is not just about executing tasks - it's about being a driving force behind groundbreaking discoveries. You'll collaborate with cross-functional teams, leveraging your expertise in statistics, recommender systems, and question answering to tackle real-world problems and deliver impactful solutions. Throughout your journey, you'll have access to unparalleled resources, including state-of-the-art computing infrastructure, cutting-edge research papers, and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically, communicate effectively, and thrive in a fast-paced, innovative environment where bold ideas are celebrated. Join us at the forefront of applied science, where your contributions will shape the ### Principal PMT-ES - AI/ML Training, Annapurna Labs - Amazon - Location: Cupertino, California, USA (unspecified) - Salary: $208K-$282K - Posted: 2026-04-16 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10394324/principal-pmt-es-ai-ml-training-annapurna-labs - Excerpt: Principal PMT-ES - AI/ML Training, Annapurna Labs Cupertino, California, USA AWS Trainium is deployed at scale, with millions of chips in production, used for training and inference of frontier models. AWS Neuron is the software stack for Trainium, enabling customers to run deep learning and generative AI workloads with optimal performance and cost efficiency. AWS Neuron is hiring a Principal Technical Product Manager to define and drive product strategy for training software on Trainium. This includes distributed training libraries, post-training workflows (RLHF, DPO, fine-tuning), reinforcement learning frameworks, and training performance optimization. Your mission is to enable researchers and operators to train frontier models at scale on Trainium, from single-node experimentation to distributed training across thousands of nodes. You will be the champion inside AWS for frontier model builders pushing the bounds of scale and resilience for current and emerging training paradigms. You will work with customers inside and outside the company to identify key improvements and stay ahead of the training landscape. You will define how Neuron supports the training AI/ML ecosystem and what tools customers will use for their training workflows on Trainium. To be successful, you will partner with engineering teams building training libraries and distributed training infrastructure, applied scientists developing optimization techniques, and PMs responsible for compiler, runtime, NKI, and infrastructure. You will develop deep knowledge of AI/ML training architectures, distributed training systems, model parallelism strategies, and training performance optimization to effectively define product strategy and make informed technical decisions. The Ideal Candidate The ideal candidate will ### Software Development Engineer, Alexa Audio - Amazon - Location: Vancouver, British Columbia, CAN (unspecified) - Salary: CAD 115K-192K - Posted: 2026-06-01 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10436002/software-development-engineer-alexa-audio - Excerpt: Software Development Engineer, Alexa Audio Vancouver, British Columbia, CAN Want to transform the way people enjoy music, podcasts, radio, and audiobooks? Then come join the team that delivers the global audio experience on Alexa. If you're passionate about building magical experiences for customers, while solving hard, complex technical problems, then this role is for you. Work across internal teams along with the world's top music partners to deliver industry leading experiences across a growing array of Alexa supported devices and countries, all while being at the forefront of Generative AI and LLM capabilities. There is a universe of tens of millions of distinct audio content that is available across streaming services. Using your voice, and timely proactive suggestions are the easiest ways to get to what you want. Alexa makes this magical for customers: ask any Alexa-enabled device to play your favorite song, podcast, book or a station, and Alexa will find the right content for you and play it. We also support being able to control and manage playback across multiple devices, and movement of media playback across them. It is still Day 1 for the audio experiences, and we're looking for a leader to help us make it even better. On the Alexa Audio Team, you will have an enormous opportunity to impact the customer experience, design, architecture, and implementation of state of the art products that will be used every day by people you know. No matter what the role, we're looking for people who are passionate ### Staff AI/ML Architect, Embodied AI - Intuitive Surgical, Inc. - Location: Sunnyvale, CA, United States (unspecified) - Salary: Not disclosed - Posted: 2026-06-12 - Parental leave: 8 weeks (not source-backed) - Non-birth-parent leave: 8 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://jobs.smartrecruiters.com/Intuitive/744000131738602-staff-ai-ml-architect-embodied-ai - Excerpt: Staff AI/ML Architect, Embodied AI Sunnyvale, CA, United States Company Description: It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive . As a global leader in robotic-assisted surgery and minimally invasive care , our technologies-like the da Vinci surgical system and Ion -have transformed how care is delivered for millions of patients worldwide. We're a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world. The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful-because every improvement we make has the potential to change a life. The Future Forward organization is Intuitive's advanced concepts group. We explore emerging technologies, prototype next-generation solutions, and build software experiences that shape the future of robotic-assisted surgery. If you're ready to contribute to something bigger than yourself and help transform the future of healthcare , you'll find your purpose here. Job Description: Primary Function of Position We are building advanced augmented dexterity capabilities for next-generation robotic platforms. As a Staff AI/ML Architect, you will own the end-to-end architecture of our applied-AI system: a hierarchical, multimodal stack in which a high-level model interprets sensory observations and produces structured intent, and a low-level policy turns that intent into precise, safe, real-time ### Field Sales Representative, Startups (Mandarin) - Google - Location: Singapore (unspecified) - Salary: Not disclosed - Posted: 2026-05-08 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckdpnSYWbAgeFiLw6gchpm21jAIKKd-jf5pgAYrh_lxNOEjsACxwdTIgBs12MpmcWIZ17KDjDADqfOV1HrMJc0_ixPVCgz3Ar8y3muGCYoQdA5k3ZxPGBxSpJvm9HWQ%3D%3D_V2&loc=SG&title=Field+Sales+Representative - Excerpt: Field Sales Representative, Startups (Mandarin) Singapore As a member of the Google Cloud team, you inspire leading companies, schools, and government agencies to work smarter with Google tools like Google Workspace, Search, and Chrome. You advocate for the innovative power of our products to make organizations more productive, collaborative, and mobile. Your guiding light is doing what's right for the customer, you will meet customers exactly where they are at and provide them the best solutions for innovation. Using your passion for Google products, you help spread the magic of Google to organizations around the world. In this role, you will be responsible to seek out and deploy agreements with startups across South East Asia (SEA). You will advocate the innovative power of our products to make organizations more productive, collaborative, and mobile. Using your passion for Google Cloud products, you will help spread the magic of Google to organizations around the world. You will bring expertise in building relationships with a group of stakeholders to work in a global organization successfully.Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Identify and reach out to AI startups to acquire them and onboard them on to Google Cloud Platform (GCP). Understand customer needs and ### Research Scientist, Manipulation for Robotics, DeepMind - DeepMind - Location: Mountain View, CA, USA (unspecified) - Salary: $147K-$211K - Posted: 2026-06-05 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckTWdRJjouI2cudjqEZGKmSqSPQX_YgptphYHSyO68e42EjoACxwdTNQDNjEPLSdDQ5CaMZDUn7qlEWbLCLDFdWZBEOsr_SH8mex7NhMB-Yye08koKFCnk25x5U2J_V2&loc=US&title=Research+Scientist - Excerpt: Research Scientist, Manipulation for Robotics, DeepMind Mountain View, CA, USA We believe there are many problems in the world in which robotics could play a significant role in making it easier, faster and safer for people to get things done. We're looking for roboticists, designers, hardware and software engineers to help us explore these possibilities, develop breakthrough technologies, and build new products that could help millions of people. At DeepMind Robotics, we are pioneering the integration of AI into the physical world to power an era of physical agents. By enabling robots to perceive, plan, think, use tools, and act, we empower them to solve increasingly tasks. Research Scientists work on stimulating range of projects including: inventing algorithms and prototype applications, working with real robots in the lab and outside the lab managing real world use cases. Research Scientists work in large collaborative teams to make breakthroughs to advance Robotics AI. We believe large foundation models will transform general purpose Robotics like with our Gemini Robotics models. This role will involve working with a multi-functional team that builds the future of robotics. You will be working on enabling robots to perform human level manipulation, using frontier robotics models for general purpose dexterous tasks reaching human level performance on real world applications. You will be working in a world-leading robotics research team and collaborate with other teams within DeepMind. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary ### Field Sales Representative, Startups - Google - Location: Singapore (unspecified) - Salary: Not disclosed - Posted: 2026-04-28 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckVy7-bOTX9J9ueOhjPoP04aTK9tXrC5EqQk_48ctFZBoEjsACxwdTHPUMEIaHCs9Lmjt0m-aE2d3ILpnRgsgbftgQiE-ZozCdCCaQc_0q6Z9zI3Z6vWDFWI35zDsKw%3D%3D_V2&loc=SG&title=Field+Sales+Representative - Excerpt: Field Sales Representative, Startups Singapore As a member of the Google Cloud team, you inspire leading companies, schools, and government agencies to work smarter with Google tools like Google Workspace, Search, and Chrome. You advocate for the innovative power of our products to make organizations more productive, collaborative, and mobile. Your guiding light is doing what's right for the customer, you will meet customers exactly where they are at and provide them the best solutions for innovation. Using your passion for Google products, you help spread the magic of Google to organizations around the world. In this role, your primary responsibility is to seek out and deploy agreements with Startups across South East Asia (SEA). In order to be successful in this role, you will need to take initiatives. You will advocate the innovative power of our products to make organizations more productive, collaborative, and mobile. Using your passion for Google Cloud products, you will help spread the magic of Google to organizations around the world. You will bring expertise in building relationships with a group of stakeholders to work in a global organization successfully. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Identify and reach out to AI Startups to acquire ### Senior Software Development Engineer, Customer 360 - Amazon - Location: Seattle, Washington, USA (unspecified) - Salary: $168K-$227K - Posted: 2026-06-08 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10442998/senior-software-development-engineer-customer-360 - Excerpt: Senior Software Development Engineer, Customer 360 Seattle, Washington, USA Shape the Future of AI-Powered Customer Experiences at Amazon by revolutionizing how millions of customers interact with Amazon. We're looking for a technical leader to lead our next breakthrough in AI-driven personalization. The Challenge In an era where AI is transforming customer expectations, we're building something unprecedented: a unified personalization engine that will power experiences across all of Amazon's businesses. This isn't just another recommendation system - it's a sophisticated AI platform that will understand and adapt to customer behaviors in real-time, creating seamless, intuitive experiences that feel like magic. Your Impact - Architect and build innovative AI-driven systems that will serve millions of customers daily - Pioneer new approaches to cross-domain personalization. - Lead technical innovation that will set industry standards for years to come - Work with diverse Amazon teams to reshape how we understand and serve our customers What Makes This Role Unique - Access to Amazon's vast technology ecosystem and data infrastructure - Freedom to innovate with the latest technologies - Direct impact on Amazon's core customer experience - Opportunity to solve complex problems at unprecedented scale You'll Be Great For This Role If You Have - Passion for building intelligent systems that delight customers - Experience with large-scale distributed systems and familiarity with ML/AI - Track record of turning complex technical challenges into elegant solutions - Desire to work at the frontier of AI innovation to deliver magic to customers. Why This Role Matters The future ### Senior Insights Manager, YouTube Marketing - YouTube - Location: Chicago, IL, USA; +3 more (unspecified) - Salary: $171K-$248K - Posted: 2026-06-05 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2Fckd5tXPkAQKyfg9S00WEw5pkFP8UpGZ1eUj_phGxMpp7bEjsACxwdTIRD-r9rW7Fr8_QWDhr6BDsVwRijr7zNaAcLqR9NHYrlRfWBM38oI8xFDXjgHbGP9hpUN6dWDw%3D%3D_V2&loc=US&title=Senior+Insights+Manager - Excerpt: Senior Insights Manager, YouTube Marketing Chicago, IL, USA; +3 more YouTube Marketing's mission is to know our users, and to connect them to the magic of our products and creators. We make YouTube successful by shaping people's perceptions of YouTube and inspiring them to engage with us. We're also responsible for all of YouTube's marketing activities to consumers, creators, and key opinion influencers. At YouTube, we are building a truly global destination for creativity, learning, and free expression. As a Senior Insights Manager, you will drive the research and analysis necessary to shape high-impact marketing strategies and business decisions. You will be a problem-solver who transforms complex data into clear, actionable recommendations that align stakeholders and anticipate future business needs. Partnering across the organization, you will define the research roadmap for your product area and confidently present your audience-centric recommendations to Directors and VPs in a changing dynamic environment. The Senior Insights Manager is tasked with transforming costly and timely research programs like Brand Health Tracking and qualitative panel management to enable near-real time insights for marketing and cross-functional stakeholders. You will do this by systematically identifying current business needs, assessing existing research approaches, and implementing best-fit methods and AI technology to enable faster decision making. Know the user. Know the magic. Connect the two. At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems--from the everyday to ### Machine Learning - Compiler Engineer , AWS Neuron, Annapurna Labs - Amazon - Location: Cupertino, California, USA (unspecified) - Salary: $165K-$224K - Posted: 2025-10-31 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3119465/machine-learning-compiler-engineer-aws-neuron-annapurna-labs - Excerpt: Machine Learning - Compiler Engineer , AWS Neuron, Annapurna Labs Cupertino, California, USA Do you want to be part of AI revolution? At AWS our vision is to make deep learning pervasive for everyday developers and to democratize access to AI hardware and software infrastructure. In order to deliver on that vision, we've created innovative software and hardware solutions that make it possible. AWS Neuron is the SDK that optimizes the performance of complex ML models executed on AWS Inferentia and Trainium, our custom chips designed to accelerate deep-learning workloads. This role is for a software engineer in the Compiler team for AWS Neuron. As part of this role, you will be responsible for building next generation Neuron compiler which transforms ML models written in ML frameworks (e.g, PyTorch, TensorFlow, and JAX) to be deployed AWS Inferentia and Trainium based servers in the Amazon cloud. You will be responsible for solving hard compiler optimization problems to achieve optimum performance for variety of ML model families including massive scale large language models like Llama, Deepseek, and beyond as well as stable diffusion, vision transformers and multi-model models. You will be required to understand how these models work inside-out to make informed decisions on how to best coax the compiler to generate optimal implementation instruction. You will leverage your technical communications skill to partner with internal and external customers/stakeholders and will be involved in pre-silicon design, bringing new products/features to market, ultimately, making Neuron compiler highly performant and easy-to-use. Experience in object-oriented ### Social Strategist, YouTube Brand and Social Marketing - YouTube - Location: New York, NY, USA; +3 more (unspecified) - Salary: $141K-$206K - Posted: 2026-06-09 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckQgICmlH7EM_fsTgd4H2KlZPAAOCJXCYAz2zgDw-QdebEjsACxwdTIeSO4r799liHNoA1h2HsMhyEZFQ11FABWSYd8zR5bZ6kgh6t8ZXdrVC2xIGzoYPfA32stWOiw%3D%3D_V2&loc=US&title=Social+Strategist - Excerpt: Social Strategist, YouTube Brand and Social Marketing New York, NY, USA; +3 more YouTube Marketing's mission is to know our users, and to connect them to the magic of our products and creators. We make YouTube successful by shaping people's perceptions of YouTube and inspiring them to engage with us. We're also responsible for all of YouTube's marketing activities to consumers, creators, and key opinion influencers. We are seeking a Social Strategist to join the YouTube Brand and Social Marketing team as a data-driven social strategist. In this role, you will focus on building scalable social infrastructure and replicable strategies for the Brand+Social COE to maximize the capability of Social Marketing towards efficient business impact. Your work will empower greater agility, alignment and faster execution speed. You will fuel the Social Editorial team in building and maintaining a successful always-on brand presence through organic channels, and drive Initiative Social and Influencer Strategies in partnership with Campaign leads. These upfront frameworks and activation principles ensure that social-first thinking is integrated into YouTube's most critical initiatives. You will build and implement Paid Social Boosting strategies, channel strategy, and content strategy. You will also collaborate with Google Brand Studio to surface performance insights, extracting actionable learnings from across the broader business. Know the user. Know the magic. Connect the two. At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems--from the ### Sr. Software Engineer- AI/ML, AWS Neuron Distributed Training - Amazon - Location: Cupertino, California, USA (unspecified) - Salary: $193K-$262K - Posted: 2025-06-20 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3014888/sr-software-engineer-ai-ml-aws-neuron-distributed-training - Excerpt: Sr. Software Engineer- AI/ML, AWS Neuron Distributed Training Cupertino, California, USA Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. AWS Neuron is the complete software stack for the AWS Trainium (Trn1/Trn2) and Inferentia (Inf1/Inf2) our cloud-scale Machine Learning accelerators. This role is for a Senior Machine Learning Engineer in the Distribute Training team for AWS Neuron, responsible for development, enablement and performance tuning of a wide variety of ML model families, including massive-scale Large Language Models (LLM) such as GPT and Llama, as well as Stable Diffusion, Vision Transformers (ViT) and many more. The ML Distributed Training team works side by side with chip architects, compiler engineers and runtime engineers to create, build and tune distributed training solutions with Trainium instances. Experience with training these large models using Python is a must. FSDP (Fully-Sharded Data Parallel), Deepspeed, Nemo and other distributed training libraries are central to this and extending all of this for the Neuron based system is key. Key job responsibilities You will lead efforts to build distributed training support into PyTorch and JAX using XLA, the Neuron compiler, and runtime stacks. You will optimize models to achieve peak performance and maximize efficiency on AWS custom silicon, including Trainium and ### Global Strategy and Operations Manager, YouTube Marketing - YouTube - Location: Los Angeles, CA, USA; +1 more (unspecified) - Salary: $116K-$167K - Posted: 2026-06-04 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckW4znRxhA4hVDvKjg7vfcB4F7VC3sX9dfuBDIOOzO8oTEjsACxwdTITsBLhm6tq9ZNU6yR31_ipWAXmWHzKzphTfIr2YAKnKOhrwyYMyLC-2fSlGc1Zr7ORRk-FIrQ%3D%3D_V2&loc=US&title=Global+Strategy+and+Operations+Manager - Excerpt: Global Strategy and Operations Manager, YouTube Marketing Los Angeles, CA, USA; +1 more YouTube Marketing's mission is to know our users, and to connect them to the magic of our products and creators. We make YouTube successful by shaping people's perceptions of YouTube and inspiring them to engage with us. We're also responsible for all of YouTube's marketing activities to consumers, creators, and key opinion influencers. Know the user. Know the magic. Connect the two. At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems--from the everyday to the epic, from the mundane to the monumental. And we approach marketing in a way that only Google can--changing the game, redefining the medium, making the user the priority, and ultimately, letting the technology speak for itself. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $116000 - $167000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Partner with leadership to set marketing's annual strategic plan globally, articulating marketing's most critical priorities, and corresponding investment. Develop robust analytics and actionable insights to enable key business decisions for YouTube Marketing leadership. Identify and recommend strategic opportunities to support YouTube Marketing's long-term goals. Bring best practices to stakeholders drawing from business operations, knowledge of marketing, internet/online media. Craft and deliver deliverables to guide decision making ### Software Engineering Manager, ML Kernel Performance, AWS Neuron, Annapurna Labs - Amazon - Location: Cupertino, California, USA (unspecified) - Salary: $213K-$288K - Posted: 2025-09-03 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3072218/software-engineering-manager-ml-kernel-performance-aws-neuron-annapurna-labs - Excerpt: Software Engineering Manager, ML Kernel Performance, AWS Neuron, Annapurna Labs Cupertino, California, USA The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The Acceleration Kernel Library team is at the forefront of maximizing performance for AWS's custom ML accelerators. Working at the hardware-software boundary, our engineers craft high-performance kernels for ML functions, ensuring every FLOP counts in delivering optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch, enabling unparalleled ML inference and training performance. As part of the broader Neuron Compiler organization, our team works across multiple technology layers - from frameworks and compilers to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology This is an opportunity to work on cutting-edge products ### Sr. Software Engineer- AI/ML, AWS Neuron Apps - Amazon - Location: Seattle, Washington, USA (unspecified) - Salary: $168K-$227K - Posted: 2025-10-30 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3118746/sr-software-engineer-ai-ml-aws-neuron-apps - Excerpt: Sr. Software Engineer- AI/ML, AWS Neuron Apps Seattle, Washington, USA Shape the Future of AI Accelerators at AWS Neuron Join the elite team behind AWS Neuron-the software stack powering AWS's next-generation AI accelerators Inferentia and Trainium. As a Senior Software Engineer in our Machine Learning Applications team, you'll be at the forefront of deploying and optimizing some of the world's most sophisticated AI models at unprecedented scale. What You'll Impact: • Pioneer distributed inference solutions for industry-leading LLMs such as GPT, Llama, Qwen • Optimize breakthrough language and vision generative AI models • Collaborate directly with silicon architects and compiler teams to push the boundaries of AI acceleration • Drive performance benchmarking and tuning that directly impacts millions of inference calls globally Key job responsibilities You will drive the Evolution of Distributed AI at AWS Neuron As a Technical Leader at the forefront of AWS's AI Accelerator, you'll architect the bridge between ML frameworks including PyTorch, JAX and AI hardware. This isn't just about just optimization-it's about revolutionizing how AI models run at scale. Technical Impact You'll Drive: • Spearhead distributed inference architecture for PyTorch and JAX using XLA • Engineer breakthrough performance optimizations for AWS Trainium and Inferentia • Develop ML tools to enhance LLM accuracy and efficiency • Transform complex tensor operations into highly optimized hardware implementations • Pioneer benchmarking methodologies that shape next-gen AI accelerator design What Makes This Role Unique: • Direct influence on AWS's AI infrastructure used by thousands of ML applications • Full-stack optimization ### Retention Marketing Lead, YouTube Music and Premium (Spanish, English) - YouTube - Location: Mexico City, CDMX, Mexico (unspecified) - Salary: Not disclosed - Posted: 2026-06-01 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckRfeye2KbjyN6FthwM8X2enTiv3X7RfGXwXjskcBcuByEjsACxwdTOauMD5JXDP0VuDgSB-2BZ0P412Q3ikOlo7SRCvvzI5bkve1nIbPSxvU7WR8aXozdN0zxBClSg%3D%3D_V2&loc=MX&title=Retention+Marketing+Lead - Excerpt: Retention Marketing Lead, YouTube Music and Premium (Spanish, English) Mexico City, CDMX, Mexico YouTube Marketing's mission is to know our users, and to connect them to the magic of our products and creators. We make YouTube successful by shaping people's perceptions of YouTube and inspiring them to engage with us. We're also responsible for all of YouTube's marketing activities to consumers, creators, and key opinion influencers. In this role, you will drive sustainable, incremental paid subscriber growth and maximize customer lifetime value for YouTube Music and Premium. You will be responsible for the Paid Member life-cycle marketing programs, from on-boarding to churn prevention. Partnering across Marketing, Product, Engineering and UX, you will work with executive leaders to build the marketing execution infrastructure and measurement solutions that enhance the usefulness and effectiveness of communications. You will develop product marketing road maps to improve utilization, and deliver engaging, data-driven business cases to supercharge our re-acquisition multi-channel programs. You will manage and develop a team of Product Marketing Managers across multiple sites, fostering a culture of psychological safety, continuous learning, and executional excellence. You will navigate complex global and regional matrices, acting as a mediator to ensure alignment on Objectives and Key Results (OKRs) and go-to-market execution. Know the user. Know the magic. Connect the two. At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems--from the everyday to the epic, ### Insights Manager, Subscriptions, Connected TV, YouTube Marketing - YouTube - Location: New York, NY, USA; +3 more (unspecified) - Salary: $141K-$206K - Posted: 2026-06-04 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2Fckfh1MLME80VrpuK7lmxq-maEv2ZW_Wt5LJXFXHvx1APIEjsACxwdTAT0ytpYqLztpYF1mLAvtu4TESGJweAJ0I1yUNvhF-z-HZLnlW72GF-uOf0n1vZpY_um0xIDKQ%3D%3D_V2&loc=US&title=Insights+Manager - Excerpt: Insights Manager, Subscriptions, Connected TV, YouTube Marketing New York, NY, USA; +3 more YouTube Marketing's mission is to know our users, and to connect them to the magic of our products and creators. We make YouTube successful by shaping people's perceptions of YouTube and inspiring them to engage with us. We're also responsible for all of YouTube's marketing activities to consumers, creators, and key opinion influencers. YouTube's Subscriptions Marketing teams are shaping the future of premium digital entertainment. We bring to life YouTube's most exciting paid offerings, including YouTube Music and Premium, YouTube TV, YouTube Primetime Channels, and NFL Sunday Ticket. Our team strives to deeply understand the evolving needs and desires of consumers, unlock new growth opportunities, and ensure we are delivering unparalleled value for our paid members. As a Connected TV Subscriptions Insights Manager, you will play a pivotal role shaping the future of YouTube's product and services. You will help the Connected TV YouTube business uncover the motivations, behaviors, and unmet needs of both our members and prospects across the range of our subscriptions products (e.g., YouTube TV, NFL Sunday Ticket, YouTube Primetime Channels, etc.). Your insights will directly influence how we acquire, engage, and retain subscribers across our portfolio. Come help us unlock the future of Connected TV entertainment for millions of people. Know the user. Know the magic. Connect the two. At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to ### Software Development Manager - Compiler, AWS Neuron, Annapurna Labs - Amazon - Location: Cupertino, California, USA (unspecified) - Salary: $213K-$288K - Posted: 2025-10-13 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3107270/software-development-manager-compiler-aws-neuron-annapurna-labs - Excerpt: Software Development Manager - Compiler, AWS Neuron, Annapurna Labs Cupertino, California, USA The Product: AWS Machine Learning accelerators are at the forefront of AWS innovation. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud. Trainium will deliver the best-in-class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by edge software stack, the AWS Neuron Software Development Kit (SDK), which includes an ML compiler, Neuron Kernel Interface (NKI) compiler, and runtime that natively integrates into popular ML frameworks, such as PyTorch and TensorFlow. Neuron Kernel Interface (NKI) is a bare-metal language and compiler for directly programming NeuronDevices available on AWS Trn/Inf instances. You can use NKI to develop, optimize and run new operators directly on NeuronCores while making full use of available compute and memory resources. AWS Neuron and Inferentia are used at scale with customers and partners like PyTorch, Epic Games, Snap, AirBnB, Autodesk, Amazon Alexa, Amazon Rekognition and more customers in various other segments. The Team: The Amazon Annapurna Labs team is a responsible for building innovative silicon and software for AWS customers. We are at the forefront of innovation by combining cloud scale with the world's most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design and verification, software and operations. With such breadth of talent, there's opportunity to learn all of the time. We operate in spaces that are very large, yet our teams remain small and ### Staff Functional Safety Engineer, Robotics Compute, DeepMind - DeepMind - Location: Mountain View, CA, USA (unspecified) - Salary: $256K-$279K - Posted: 2026-06-04 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckVL4OzqxwlIlGrjAkPdvjaG7a3X7jQt33zFyy9F38P0nEjsACxwdTMzGkws7oc-wAOvhhaRlxmUcaabwl75pcMCL-hwBC5OH9scZXEbcmNIiZcPNAWwSpd6_5oWpcg%3D%3D_V2&loc=US&title=Staff+Functional+Safety+Engineer - Excerpt: Staff Functional Safety Engineer, Robotics Compute, DeepMind Mountain View, CA, USA At Google DeepMind Robotics we are pioneering bringing AI to the physical world. We are powering an era of physical agents, enabling robots to perceive, plan, think, use-tools, and act to better solve complex tasks. As a Staff Functional Safety Engineer, you will play a critical role in defining and implementing the functional safety architecture for high-performance robotics compute platforms. You will serve as a key bridge between high-level safety architectures and concrete deliverables. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $256000 - $279000 (USD) + 20% bonus target Learn more about benefits at Google . Design and implement hardware/firmware safety features, including safety islands and fallback mechanisms. Conduct FMEDA and fault injection campaigns to evaluate diagnostics. Lead testing and validation to ensure the entire hardware and software stack achieves strict certification against all targeted safety metrics and industry ### Software Development Manager, Alexa Audio - Amazon - Location: Chennai, Tamil Nadu, IND (unspecified) - Salary: Not disclosed - Posted: 2026-05-09 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10415485/software-development-manager-alexa-audio - Excerpt: Software Development Manager, Alexa Audio Chennai, Tamil Nadu, IND As Alexa Audio, we own the audio experiences on Alexa enabled devices. These experiences include Music, Podcast, Audio Books, Radio, and Ambient soundscapes. Our integration skill kits enable seamless integration of 1P / 3P audio content providers (e.g., Amazon Music, Spotify, Apple etc.) with Alexa devices. Audio is one of the most widely used experiences on Alexa, and is enjoyed by millions of customers on a daily basis. There is a universe of tens of millions of distinct audio content that is available across streaming services. Using your voice, and timely proactive suggestions are the easiest ways to get to what you want. Alexa makes this magical for customers: ask any Alexa-enabled device to play your favorite song, podcast, book or a station, and Alexa will find the right content for you and play it. We also support being able to control and manage playback across multiple devices, and movement of media playback across them. It is still Day 1 for the audio experiences, and we're looking for a leader to help us make it even better. If you're passionate about building magical experiences for customers, while solving hard, complex technical problems, then this role is for you. Work across internal teams along with the world's top music partners to deliver industry leading experiences across a growing array of Alexa supported devices and countries, all while being at the forefront of Generative AI and LLM capabilities. We are looking for a ### Executive Engagement Audience Manager, Executive Events Team - Google - Location: San Francisco, CA, USA; +4 more (unspecified) - Salary: $116K-$167K - Posted: 2026-06-12 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckTUxulTSVeQUvvK3OrrEWvZm8qPyJHLvmxpGslzNRnD3EjsACxwdTCvH6R8SQqd8sgQ-WLQiNKEXlL_EhMkOujdgP1lFueGOVdj7BHiMxmXT7Qt41kwJoTX0-knJKw%3D%3D_V2&loc=US&title=Executive+Engagement+Audience+Manager - Excerpt: Executive Engagement Audience Manager, Executive Events Team San Francisco, CA, USA; +4 more The Events and Experiences team brings the magic of Google to life through physical experiences that make our brand tangible, human, and shareable. You will collaborate across teams and departments to create delightful, one-of-a-kind experiences that leave a lasting impression. The Executive Events and CxO Engagement Team, Google Cloud accelerates growth by curating strategic executive experiences that spark meaningful dialogue and turn Chief "X" Officer (CxO) relationships, into lasting partnerships. Know the user. Know the magic. Connect the two. At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems--from the everyday to the epic, from the mundane to the monumental. And we approach marketing in a way that only Google can--changing the game, redefining the medium, making the user the priority, and ultimately, letting the technology speak for itself. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $116000 - $167000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Support the development and operational execution of regional and global audience strategies, ensuring tight alignment with regional sales targets and executive customer offices. Manage the global nomination and validation process including coordinating invitation lists, outreach tactics, and the operational setup of executive registration to ensure attendance by the appropriate ### Applied Scientist, AWS Neuron Science Team - Amazon - Location: Santa Clara, California, USA (unspecified) - Salary: $172K-$222K - Posted: 2025-12-08 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3139216/applied-scientist-aws-neuron-science-team - Excerpt: Applied Scientist, AWS Neuron Science Team Santa Clara, California, USA The AWS Neuron Science Team is looking for talented scientists to enhance our software stack, accelerating customer adoption of Trainium and Inferentia accelerators. In this role, you will work directly with external and internal customers to identify key adoption barriers and optimization opportunities. You'll collaborate closely with our engineering teams to implement innovative solutions and engage with academic and research communities to advance state-of-the-art ML systems. As part of a strategic growth area for AWS, you'll work alongside distinguished engineers and scientists in an exciting and impactful environment. We actively work on these areas: - AI for Systems: Developing and applying ML/RL approaches for kernel/code generation and optimization - Machine Learning Compiler: Creating advanced compiler techniques for ML workloads - System Robustness: Building tools for accuracy and reliability validation - Efficient Kernel Development: Designing high-performance kernels optimized for our ML accelerator architectures A day in the life AWS Utility Computing (UC) provides product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Additionally, this role may involve exposure to and experience with Amazon's growing suite of generative AI services and other cloud computing offerings across the AWS portfolio. About the team AWS Neuron is the software of Trainium and ### UX Designer, MarTech - Google - Location: Los Angeles, CA, USA (unspecified) - Salary: $132K-$190K - Posted: 2026-06-08 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckcsqlmSS3m5pUMr4VTS9rI5jEC5LXqOe0pgVYihCvwP1EjsACxwdTG9c4IEcwVfyOoaGjMsGPw6fbwns1biSPHbv_4dkz-UKZ4BoG03J4tYoTANvLWUojSRCVRBP4A%3D%3D_V2&loc=US&title=UX+Designer - Excerpt: UX Designer, MarTech Los Angeles, CA, USA At Google, we "Focus on the user and all else will follow." Our Interaction Designers transform complex tasks into intuitive, easy-to-use experiences for billions of people. From creating user flows and wireframes to building mockups and prototypes, you will envision and bring product experiences to life with an inspired, refined, and magical feel. You will join our multi-disciplinary UX team, collaborating with Engineering and Product Management, leveraging user insights to create industry-leading products. As an Interaction Designer, you'll apply user-centered design methods to craft industry-leading user experiences from concept to execution, working with design partners to evolve the Google design language to build beautiful, innovative products. Join a high-impact team at the intersection of Marketing Technology (MarTech) and innovation to redefine enterprise engagement at a global scale by shaping an AI-first transformation of business.google.com. As a UX Designer, you will help us move beyond traditional navigation to partner on a ground-breaking Gen-UI experience where the website intelligently anticipates and serves user needs in real-time to accelerate business growth. From designing 0-to-1 generative interfaces to building the internal scaled workflow tools that will power Google Marketing's automated, AI-driven future, you will have a unique seat at the table to redefine how millions of businesses interact with Google's ecosystem. Know the user. Know the magic. Connect the two. At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's ### Production Set Designer, Robotics, DeepMind - DeepMind - Location: Mountain View, CA, USA (unspecified) - Salary: $164K-$240K - Posted: 2026-06-04 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckToBFj9a1tI4xgUva3yNY8xqVRnYC8_47dGkhcjp4dS6EjsACxwdTEvcNYO4CQ9BpPjFgDl7S9OiCxiVXUxpuZpqdkwuDsR9c76fAft3jAKm8awHZSz-JzT9PFS2PQ%3D%3D_V2&loc=US&title=Production+Set+Designer - Excerpt: Production Set Designer, Robotics, DeepMind Mountain View, CA, USA Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $164000 - $240000 (USD) + 20% bonus target + bonus + equity + benefits Learn more about benefits at Google . Architect and execute scene staging for robotic data collection. Focus on set design and deployment, applying high-end production standards to robotic integration. Act as the primary liaison between researchers defining data goals, engineering teams integrating robotic work cells, and production teams managing staging logistics. Coordinate scene layouts with robot work cell configurations. Ensure environments are optimized for high-quality data capture while maintaining safe, efficient robotic operations. Manage inventory, scheduling, and logistics for all set components, props, and equipment. Monitor scene performance and data quality to pinpoint friction points. Identify bottlenecks in set design or integration and implement iterative, systemic improvements. Minimum qualifications: Bachelor's degree or equivalent practical experience. Certification in 5S or Six ### Machine Learning Engineer II, Computer Vision Applied Science - Pinterest - Location: San Francisco, CA, US; Remote, US (remote) - Salary: $139K-$286K - Posted: 2026-03-10 - Parental leave: 20 weeks (not source-backed) - Non-birth-parent leave: 20 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.pinterestcareers.com/jobs/?gh_jid=7697137 - Excerpt: Machine Learning Engineer II, Computer Vision Applied Science San Francisco, CA, US; Remote, US About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . The Pinterest Labs group is dedicated to the development and research of applied machine learning. Our initiatives span a diverse range of AI/ML fields, including fundamental computer vision, multimodal large language models, multimodal representation learning, generative modeling, heterogeneous graph neural networks, and recommender systems. By building ### Game Designer, Games, Inception, DeepMind - DeepMind - Location: London, UK (unspecified) - Salary: Not disclosed - Posted: 2026-06-02 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckXURblUQC5-b1JG9uq9UTetKyAH1pHU-qIO0sAHKS7ycEjsACxwdTKKrBkGxZ6yA-z-9OUvqYr8H0DuaBnR_folTXFs5W-H3LQzKAzganHUa_gmz4SblR7kKBnchwg%3D%3D_V2&loc=GB&title=Game+Designer - Excerpt: Game Designer, Games, Inception, DeepMind London, UK DeepMind has long-established connections with gaming, whether through early AI-breakthroughs mastering Atari games or Starcraft, and more recent research with Genie and SIMA agents. We are looking for a Game Designer with a deep understanding of core systems, player psychology, and interactive storytelling to help us architect a new generation of breakthrough experiences. If you are a systems-thinker who views AI not just as technology, but as a brand-new design material, we want you on the team. Inception runs like a startup, balancing high energy idea generation with pragmatic, clear and regularly refined operations. This collaborative, multidisciplinary group is situated primarily in London and Mountain View with collaborators across the globe. It has a sizable and different portfolio of early stage, design focused projects, with a focus on breakthrough experiences that wouldn't be possible without AI. Your mission is to design core loops, mechanics, and gameplay systems that would be fundamentally impossible without AI. You will be the creative glue bridging the gap between machine learning research and player-facing fun. As a Game Designer, you will advocate a "show, don't tell" culture by translating abstract AI capabilities into tangible game prototypes. You will collaborate with cross-functional teams to define player agency, map out system dynamics, and steer creative ideation sessions that push the boundaries of modern game design. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on ### Sr. Machine Learning Engineer, Applied Science - Pinterest - Location: San Francisco, CA, US; Remote, US (remote) - Salary: $161K-$332K - Posted: 2025-05-19 - Parental leave: 20 weeks (not source-backed) - Non-birth-parent leave: 20 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.pinterestcareers.com/jobs/?gh_jid=6894747 - Excerpt: Sr. Machine Learning Engineer, Applied Science San Francisco, CA, US; Remote, US About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . Within Pinterest, the Pinterest Labs organization focuses on applied ML research and development. Labs focuses on a broad variety of AI/ML initiatives, such as core computer vision, multimodal representation learning, heterogeneous graph neural networks, generative modeling, recommender systems, etc. This is the group that develops foundation ML models ### Limited employment up to 6 months (f/m/d) - Neuro-Symbolic AI: The Next Frontier (6 Months) - SAP - Location: Region Europe | Country Germany | Internal Posting Location St. Leon-Rot (unspecified) - Salary: Not disclosed - Posted: 2026-06-12 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://jobs.sap.com/job/St_-Leon-Rot-Limited-employment-up-to-6-months-%28fmd%29-Neuro-Symbolic-AI-The-Next-Frontier-%286-Months%29-68789/1380904533/ - Excerpt: Limited employment up to 6 months (f/m/d) - Neuro-Symbolic AI: The Next Frontier (6 Months) Region Europe | Country Germany | Internal Posting Location St. Leon-Rot We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What you'll build As a Research Fellow in the Global Content Group (GCG) Engineering team, you will: Research and prototype neuro-symbolic AI approaches that combine the reasoning power of structured knowledge graphs with the generalization capabilities of large language and foundation models Develop methods to inject ontology-level knowledge - concepts, relationships, and constraints - directly into foundation models, enabling them to generate accurate, schema-aware SPARQL queries from natural language Design and evaluate knowledge-grounded question answering (Q&A) systems that go beyond retrieval-augmented generation, leveraging formal ontologies to improve precision, explainability, and faithfulness of model outputs Benchmark your approaches against existing text-to-SPARQL and semantic Q&A baselines on enterprise knowledge graphs Collaborate with a global team of software engineers, data scientists, and researchers on cutting-edge challenges at the intersection of symbolic AI and ### Applied Scientist, Demand Forecasting - Amazon - Location: Bellevue, Washington, USA (unspecified) - Salary: $172K-$223K - Posted: 2026-03-18 - Parental leave: 20 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Surrogacy assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3207458/applied-scientist-demand-forecasting - Excerpt: Applied Scientist, Demand Forecasting Bellevue, Washington, USA What does it take to build a foundation model that can forecast demand for hundreds of millions of products - including ones that have never been sold before? At Amazon, our Demand Forecasting team is tackling one of the most ambitious challenges in applied time series research: designing and building large-scale foundation models that generalize across an enormous and diverse catalog of products, geographies, and business contexts. This is not incremental modeling work. We are redefining what's possible in demand forecasting through novel architectures, training strategies, and data generation techniques. Our team operates at a scale that is unmatched in industry or academia. You'll design experiments across millions of products simultaneously, developing new model architectures and training methodologies that push the boundaries of what foundation models can learn from vast, heterogeneous time series data. You'll explore techniques in transfer learning, zero-shot forecasting, and synthetic data generation. The models you design here will ship to production and directly influence hundreds of millions of dollars in automated inventory decisions every week. Beyond operational impact, you'll publish your work at top-tier conferences and contribute to advancing the state of the art in time series foundation models for the broader scientific community. If you are a scientist who wants to work at the frontier of time series research, design novel solutions to problems no one else has solved at this scale, and see your research deployed to real-world impact - this is the team for you. Key ### ML Compiler Engineer II - Neuron Kernel Interface , Annapurna Labs - Amazon - Location: Seattle, Washington, USA (unspecified) - Salary: $144K-$194K - Posted: 2025-08-08 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3055108/ml-compiler-engineer-ii-neuron-kernel-interface-annapurna-labs - Excerpt: ML Compiler Engineer II - Neuron Kernel Interface , Annapurna Labs Seattle, Washington, USA The AWS Neuron Compiler team is actively seeking skilled compiler engineers to join our efforts in developing a state-of-the-art deep learning compiler stack. This stack is designed to optimize application models across diverse domains, including Large Language and Vision, originating from leading frameworks such as PyTorch, TensorFlow, and JAX. Your role will involve working closely with our custom-built Machine Learning accelerators, including Inferentia/Trainium, which represent the forefront of AWS innovation for advanced ML capabilities, powering solutions like Generative AI. Key job responsibilities As a ML Compiler Engineer II on the Neuron Compiler Automated Reasoning Group, you will develop and maintain tooling for best-in-class technology for raising the bar of the Neuron Compiler's accuracy and reliability. You will help lead the efforts building fuzzers and specification synthesis tooling for our LLVM-based compiler. You will work in a team with a science focus, and strive to push what we do to the edge of what is known, to best deliver our customers. Strong software development skills using C++/Python are critical to this role. A science background in compiler development is strongly preferred. A background in Machine Learning and AI accelerators is preferred, but not required. In order to be considered for this role, candidates must be currently located or willing to relocate to Seattle (Preferred), Cupertino, Austin, or Toronto. Basic Qualifications: - 3+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing ### Executive Policy Engagement Manager, DeepMind - DeepMind - Location: London, UK (unspecified) - Salary: Not disclosed - Posted: 2026-05-14 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckUIXkwOmb2u7F1xazHU2kCalZNTNSJqIAK3c0C4BFDDnEjsACxwdTPrreIL9ot0qdmXMb2jk1ko4pIjCv_N-cVkWxcsThkwaHJXvVO9QpuEkovnQ6yrH5ulU83_Mqg%3D%3D_V2&loc=GB&title=Executive+Policy+Engagement+Manager - Excerpt: Executive Policy Engagement Manager, DeepMind London, UK In this role, you will drive the implementation of our executives' policy engagement strategies, develop briefings, manage complex international engagements, and prepare our leadership for high-profile global events. You are a dynamic professional working at the intersection of policy, communications, and executive management. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Collaborate with senior colleagues and executive offices to shape and drive the implementation of long-term policy engagement strategies for GDM executives. Draft briefing materials, talking points, and background notes. Brief executives ahead of critical engagements and provide on-the-ground support as part of a wider team. Develop tailored narratives and messaging to ensure all executive external communications are strategic, consistent, and highly impactful. Build and maintain an active network across government, think tanks, and industry partners to proactively support the delivery of the engagement strategy. Maintain the operational infrastructure including forward-planning, opportunity triage, and knowledge systems, while delivering concise, actionable updates on global policy and tech developments. Minimum qualifications: Bachelor's ### Senior Staff Research Scientist, Gemini Safety Post-Training, DeepMind - DeepMind - Location: Mountain View, CA, USA (unspecified) - Salary: $262K-$365K - Posted: 2026-06-10 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckSZj4vQVVlRqYJFjCKGPwCSj_tMcXekh_jwuDtQbTsBTEjsACxwdTEgV-Px1nAPgC2Bkx8m_qii7QjhECMIwAtgr8qTSHXtS1oyLPTNRGlKhf0YqtaqMVouoXdyIQw%3D%3D_V2&loc=US&title=Senior+Staff+Research+Scientist - Excerpt: Senior Staff Research Scientist, Gemini Safety Post-Training, DeepMind Mountain View, CA, USA As models become more agentic, executing long-horizon tasks, using tools, writing and running code, operating across multi-step workflows, the challenge of making them safe fundamentally changes. Surface-level safety methods (output filtering, refusal tuning, policy guardrails) were designed for single-turn interactions. They are not enough for agents that plan, act, and adapt over extended horizons. We are looking for a Senior Staff Research Scientist to rethink safety post-training for this new reality. You will bring frontier post-training expertise, to develop training methods that make Gemini models deeply safe and aligned, especially in agentic settings. This role sits in Gemini Safety and partners closely with the Artificial General Intelligence (AGI) Safety team and the Gemini post-training organization. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $262000 - $365000 (USD) + 25% bonus target + bonus + equity + benefits Learn more about ### Staff Software Engineer, Gemini Evals, GenAI, DeepMind - DeepMind - Location: Mountain View, CA, USA; +1 more (unspecified) - Salary: $207K-$301K - Posted: 2026-06-04 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckSKWOfGfWh2vaEmScS46ZHoHy9Cf3sn_abIPcM_sJJmaEjsACxwdTDaD6XZIeseek3i8xMMXsiUGMR9UiTw_5HZg_IT_xANAx-AnwEsjIt4TbMlm6BPu2lImmvGJ1A%3D%3D_V2&loc=US&title=Staff+Software+Engineer - Excerpt: Staff Software Engineer, Gemini Evals, GenAI, DeepMind Mountain View, CA, USA; +1 more At Google DeepMind our mission is to build the world's first general-purpose learning agent. Central to this mission is the complex task of measuring the intelligence of our prototypes. As a Software Engineer, you will be working with the cutting edge AI agents developed by our exceptional team of Machine Learning and Neuroscience research scientists. Your responsibilities will include everything from creating systems for agent testing using 2D and 3D games to developing test problems within physics simulators. You will create graphical visualization of results, build competitive agent leaderboards and test new algorithms on robots. To succeed in this role you will need to have a strong foundation in software engineering and enjoy working on a wide range of challenging problems within a mission-driven team. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $207000 - $301000 (USD) + 20% ### Sr. Applied Scientist, Predictive Targeting - Amazon - Location: Seattle, Washington, USA (unspecified) - Salary: $167K-$226K - Posted: 2026-01-28 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3168875/sr-applied-scientist-predictive-targeting - Excerpt: Sr. Applied Scientist, Predictive Targeting Seattle, Washington, USA Are you passionate about leveraging data to deliver actionable insights that impact daily marketing activities at Amazon? The Customer Targeting team in Amazon is seeking an Applied Scientist to join our team to develop models for optimizing the performance of Amazon's marketing initiatives across channels and advertising formats. You have experience applying modern machine learning methods to answer key business questions, make strategic and tactical recommendations for change, and work with business leaders to drive these to production. You are entrepreneurial and able to work in a highly collaborative environment. This role requires an individual with strong quantitative modeling skills and experience using statistical methods. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and ever-changing environment. You will be expected to: - Leverage knowledge of statistics and optimization to frame decision-making problems for determining marketing spends across channels. - Predict future customer behavior and business conditions through machine learning and predictive modeling. - Use analytical and predictive techniques to build models for optimizing targeting. - Present proposals and results in a clear manner backed by data and coupled with actionable conclusions. Basic Qualifications: - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred ### Research Engineer, Embodied Agents, DeepMind - DeepMind - Location: Mountain View, CA, USA (unspecified) - Salary: $174K-$253K - Posted: 2026-06-11 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckV5eGgn7jmy9wF3j8ZBhhCIYOK8Foz8ErJ3TkQrj0BLzEjsACxwdTFCeBuJrRI3HjhTRT-jEtqhIZiKVcVSz3TvpuFXUNted86EW2DsxnzMQq4j6plYrdVA3OcI-2A%3D%3D_V2&loc=US&title=Research+Engineer - Excerpt: Research Engineer, Embodied Agents, DeepMind Mountain View, CA, USA At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. At DeepMind Robotics, we are dedicated to solving physical AGI. We are a team of scientists and engineers working together to advance the artificial intelligence, ultimately enabling autonomous agents to safely act in complex, human-centered environments. You will build AI agents that can interact with, learn from, and adapt to their physical/digital environments. You will own the full lifecycle from research prototype to partner deployment advancing core learning systems, building the developer ecosystem, and working directly with partners to put intelligent robots into real environments. The defining issue: closing the gap between what our models can do in simulation and what our robots actually do in the world. This is a role where your work has physical presence the code you write moves robots, the systems you build help ### SoC Validation Engineer, Amazon Devices - Amazon - Location: Bengaluru, Karnataka, IND (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10417469/soc-validation-engineer-amazon-devices - Excerpt: SoC Validation Engineer, Amazon Devices Bengaluru, Karnataka, IND The team that built the innovative Silicon IP AZ1 Neural Edge that is powering the latest generation of Echo devices is looking for an SoC Emulation Engineer to continue to innovate on behalf of our customers. We are a part of Amazon Lab126 that revolutionized reading with our Kindle family of products and reimagined user experience through Echo and Alexa. We want you to help us build on the success of our first generation of ML accelerator at edge. Work hard. Have fun. Make history. As an SoC Validation Engineer, you will be responsible for enabling the pre-silicon and post-silicon validation verification of next generation SoCs on multiple platforms such as emulation, prototyping and early silicon. You will develop and execute test plans, design test environments and help build emulation and prototype models while working closely with architects, RTL designers, SoC and software development teams. In this role, you will: - Develop/review subsystem testplans and help create the SoC Verification and Validation plan. - Implement tests and scenarios on multiple platforms. - Develop and deploy baremetal drivers to configure SoC subsystems Pre-silicon activities: - Develop test benches, transactors and monitors to work with Emulation systems (ex. Zebu) and Prototyping systems (ex. HAPs) - Develop infrastructure for build and runtime of SoC emulation and prototyping models using vendor tools and Providing training, failure debug support and improving debug capabilities - Maximize efficient utilization of the platforms through automation and other innovations - Debug ### Frontier AI Strategy Principal, DeepMind - DeepMind - Location: Mountain View, CA, USA (unspecified) - Salary: $284K-$316K - Posted: 2026-06-04 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckUyTpYWoL_6GNYw-KLhh7kCOg9KPDNru1VCRtNzK7qeQEjsACxwdTA4Yiix_mUc1uQXH42N49fY0qyehRJHxdb1CTevayjHw5buNvrIjINA5E_yaYGPo5kqV4xfjog%3D%3D_V2&loc=US&title=Frontier+AI+Strategy+Principal - Excerpt: Frontier AI Strategy Principal, DeepMind Mountain View, CA, USA Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offers learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $284000 - $316000 (USD) + 25% bonus target + bonus + equity + benefits Learn more about benefits at Google . Partner with DeepMind teams (e.g., Research, Product, Science, and other cross-functional groups) to accelerate paths to impact for DeepMind Research. Build trusted relationships across DeepMind to deliver outsized collective impact. Drive strategic, business, commercialization, productization analysis and insights across a variety of AI-native domains. Ensure timely, impactful, and quality delivery. Translate into clear recommendations and deliver with influence and credibility to DeepMind's executives on pivotal decisions. Execute through to delivery of demonstrable impact, which will require this person to show up at all times with curiosity, intellectual rigour, honesty, respect and humility. Minimum qualifications: Bachelor's degree or equivalent practical experience. 13 years of experience in business and product strategy. 2 years of Frontier AI ### Senior Applied Scientist (Computer Vision), Camera and Sensors - Amazon - Location: Cambridge, England, GBR (unspecified) - Salary: Not disclosed - Posted: 2026-05-26 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10429601/senior-applied-scientist-computer-vision-camera-and-sensors - Excerpt: Senior Applied Scientist (Computer Vision), Camera and Sensors Cambridge, England, GBR The Camera and Sensors team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to help build industry-leading technology with computer vision and multimodal perception models for various Amazon devices. Key job responsibilities As an Applied Scientist with the Camera and Sensors team, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art with multimodal models with an emphasis on computer vision. Your work will directly impact our customers in the form of products and services that make use of Computer Vision technology. You will leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances for Amazon devices. A day in the life An Applied Scientist with the Camera and Sensors team you will support the science solution design, run experiments, research new algorithms, and find new ways of optimizing the customer experience; while setting examples for the team on good science practice and standards. Besides theoretical analysis and innovation, an Applied Scientist will also work closely with talented engineers and scientists to put algorithms and models into practice. About the team You will work with a team of applied scientists and software engineers locally in Cambridge, along with a broader team of principle scientists, applied scientists and software engineers across multiple global teams in the devices group. Basic Qualifications: - Experience with neural deep learning methods and machine learning ### Senior Research Engineer, On-Device Inference, Robotics, DeepMind - DeepMind - Location: Mountain View, CA, USA (unspecified) - Salary: $207K-$301K - Posted: 2026-06-09 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckXdB87ylPXdzpgnMBxB1F7nQvg7nSIvtztTF6jasvgD5EjsACxwdTOXZypturrzPiMHKJ-34ZNNEYdKgvKId_OqEtgX-ckLNrT2z0lgmFqx0kZCACGNsv98zDsOrRA%3D%3D_V2&loc=US&title=Senior+Research+Engineer - Excerpt: Senior Research Engineer, On-Device Inference, Robotics, DeepMind Mountain View, CA, USA At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. As a Research Engineer, you will lead the critical effort to adapt and optimize Gemini Robotics models for deployment in low-latency on-device applications. You will be driving strong alignment between specialized model architectures and edge device constraints. You will be articulating technical requirements and performance tradeoffs and influencing research and engineering teams across Google to deliver robust solutions. You will be passionate about the intersection of model optimization and hardware acceleration for use cases. You will possess deep knowledge of low-latency inference techniques across GPU, TPU, and CPU architectures and are skilled in collaborating across disciplines to achieve optimal system performance. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing ### Technical Communications Manager, Technology and Society - Google - Location: San Francisco, CA, USA; +2 more (unspecified) - Salary: $141K-$206K - Posted: 2026-06-04 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckXrWDNIvoRj0tOgRyQEBP5CG6c1Tu3vy7n0ZTYvxKtwfEjsACxwdTEmRJqi7CpDbUzsCMQOi1-Mrnz93e9xDipD9RU1WfrELkfrfhSiF-KO9b8MxRUf_LGZCNcdL-g%3D%3D_V2&loc=US&title=Technical+Communications+Manager - Excerpt: Technical Communications Manager, Technology and Society San Francisco, CA, USA; +2 more As a member of the Global Communications & Public Affairs team, you will work cross-functionally to help communicate with journalists and other thought leaders; devise specific communications materials and campaigns; engage in face-to-face meetings with commentators and other opinion formers; and develop print and web-based material supporting these campaigns. We're looking for great communicators who can understand complex issues and explain them in person and also via well written, simple blog posts, FAQs, video scripts and more. As the Technical Communications Manager for Technology & Society, you will sit at the intersection of breakthrough innovation and its broader impact on the world. You will work closely with researchers, engineers, and policy experts to demystify complex technical developments and frontier AI research. You are a storyteller who can navigate high-level technical white papers and prestigious scientific journals as easily as a media briefing. You will develop communication strategies that emphasize transparency, rigour, and the human impact of the work. Whether you are breaking down the benefits of new AI compression techniques, explaining next-generation neural architectures, or exploring the evolutionary philosophy of Artificial Intelligence (AI), you will ensure the technical progress is understood and contextualized within the broader societal, press and competitive landscape. It's our job to help inform and educate users, advertisers, partners, opinion leaders--and our own employees--about the benefits of Google's products, our distinctive company culture/values, and our approach to the big public policy issues of the day. ### Robotics/AI Motor Control Scientist, Fauna - Amazon - Location: New York, New York, USA (unspecified) - Salary: $172K-$223K - Posted: 2026-06-05 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10441528/robotics-ai-motor-control-scientist-fauna - Excerpt: Robotics/AI Motor Control Scientist, Fauna New York, New York, USA We are seeking a Robotics/AI Motor Control Scientist to develop cutting-edge machine learning algorithms for motor control systems in robots. In this role, you will focus on creating and optimizing intelligent motor control strategies to enable robots to perform complex, whole-body tasks. Your contributions will be essential in advancing robotics by enabling fluid, reliable, and safe interactions between robots and their environments. Key job responsibilities - Develop controllers that leverage reinforcement learning, imitation learning, or other advanced AI techniques to achieve natural, robust, and adaptive motor behaviors - Collaborate with multi-disciplinary teams to integrate motor control systems with robotic hardware, ensuring alignment with real-world constraints such as actuator dynamics and energy efficiency - Use simulation and real-world testing to refine and validate control algorithms - Stay updated on advancements in robotics, AI, and control systems to apply advanced techniques to robotic motion challenges - Lead technical projects from conception through production deployment - Mentor junior scientists and engineers - Bridge research initiatives with practical engineering implementation About the team Fauna Robotics, an Amazon company, is building capable, safe, and genuinely delightful robots for everyday life. Our goal is simple: make robots people actually want to live and interact with in everyday human spaces. We believe that future won't arrive until building for robotics becomes far more accessible. Today, too much effort is spent reinventing the fundamentals. We're changing that by developing tightly integrated hardware and software systems that make it ### Early Talent Programs - Fortinet - Location: Location not specified (hybrid) - Salary: Not disclosed - Posted: 2026-06-04 - Parental leave: 2 weeks (not source-backed) - Non-birth-parent leave: 2 weeks (not source-backed) - Apply: https://www.fortinet.com/corporate/careers/early-talent-program - Excerpt: Early Talent Programs Read more about the Early Talent Program at Fortinet Skip to content Skip to navigation Skip to footer FREE PRODUCT DEMO SERVICES SUPPORT DOWNLOADS FORTICLOUD LOGIN username Search USA (English) UK & Ireland (English) Germany (Deutsch) France (Français) Italy (Italiano) Mainland China (简体中文) Taiwan (繁體中文) Korea (한국어) Japan (日本語) Brazil (Portugués) Latin America (Español) Products The Fortinet Platform Hybrid Mesh Firewall Next-Generation Firewalls AI-Powered Security Services More Enterprise Networking Secure Ethernet Switches Secure Wireless LAN More AI Security FortiAI Overview Generative AI and AIOPs Operating System FortiOS Unified SASE SASE Secure SD-WAN More Cloud Security Cloud NGFW CNAPP More Security Operations SOC Platform Unified Endpoint Platform More Operational Technology Modernized OT Security Ruggedized Products More Learn more about GenAI Security » Network Security Network Firewall Firewall Appliances Cloud Firewalls Services AI-Powered Security Services FortiGate-as-a-Service Quantum Security Overview Quantum Safety Operating System FortiOS NOC Management Centralized Management GenAI for NOC Firewall Migration Service Latest from Fortinet Fortinet Named a Leader in the 2025 Gartner® Magic Quadrant™ for Hybrid Mesh Firewall Get the Report Learn more about Secure Networking » Enterprise Networking LAN Switching Chassis Switching WLAN High-Density NAC NOC Management Cloud-based LAN Management Centralized Management AIOps GenAI for NOC Operating System FortiOS WAN Secure SD-WAN 5G/LTE Wireless WAN Latest from Fortinet Fortinet Named a Leader in the 2025 Gartner® Magic Quadrant™ for Enterprise Wired and Wireless LAN Infrastructure Get the Report Learn more about Secure Networking » Unified SASE SASE SASE Secure SD-WAN Universal ZTNA FortiSASE Sovereign Services ### Senior AI/ML Research Engineer (Computer Vision) - Intuitive Surgical, Inc. - Location: Sunnyvale, CA, United States (unspecified) - Salary: Not disclosed - Posted: 2026-06-12 - Parental leave: 8 weeks (not source-backed) - Non-birth-parent leave: 8 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://jobs.smartrecruiters.com/Intuitive/744000131739316-senior-ai-ml-research-engineer-computer-vision- - Excerpt: Senior AI/ML Research Engineer (Computer Vision) Sunnyvale, CA, United States Company Description: It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive . As a global leader in robotic-assisted surgery and minimally invasive care , our technologies-like the da Vinci surgical system and Ion -have transformed how care is delivered for millions of patients worldwide. We're a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world. The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful-because every improvement we make has the potential to change a life. The Future Forward organization is Intuitive's advanced concepts group. We explore emerging technologies, prototype next-generation solutions, and build software experiences that shape the future of robotic-assisted surgery. If you're ready to contribute to something bigger than yourself and help transform the future of healthcare , you'll find your purpose here. Job Description: Primary Function of Position We are building advanced augmented dexterity capabilities for next-generation robotic platforms. As a Senior AI/ML Research Engineer (Computer Vision), you will develop the perception models that let our Embodied-AI system understand the surgical scene. Working within a hierarchical, multimodal stack-where a high-level model interprets sensory observations into structured intent and a low-level ### Request a Quote - Fortinet - Location: Location not specified (hybrid) - Salary: Not disclosed - Posted: 2026-06-04 - Parental leave: 2 weeks (not source-backed) - Non-birth-parent leave: 2 weeks (not source-backed) - Apply: https://www.fortinet.com/corporate/about-us/request-a-quote - Excerpt: Request a Quote Request a Quote | Fortinet Skip to content Skip to navigation Skip to footer FREE PRODUCT DEMO SERVICES SUPPORT DOWNLOADS FORTICLOUD LOGIN username Search USA (English) UK & Ireland (English) Germany (Deutsch) France (Français) Italy (Italiano) Mainland China (简体中文) Taiwan (繁體中文) Korea (한국어) Japan (日本語) Brazil (Portugués) Latin America (Español) Products The Fortinet Platform Hybrid Mesh Firewall Next-Generation Firewalls AI-Powered Security Services More Enterprise Networking Secure Ethernet Switches Secure Wireless LAN More AI Security FortiAI Overview Generative AI and AIOPs Operating System FortiOS Unified SASE SASE Secure SD-WAN More Cloud Security Cloud NGFW CNAPP More Security Operations SOC Platform Unified Endpoint Platform More Operational Technology Modernized OT Security Ruggedized Products More Learn more about GenAI Security » Network Security Network Firewall Firewall Appliances Cloud Firewalls Services AI-Powered Security Services FortiGate-as-a-Service Quantum Security Overview Quantum Safety Operating System FortiOS NOC Management Centralized Management GenAI for NOC Firewall Migration Service Latest from Fortinet Fortinet Named a Leader in the 2025 Gartner® Magic Quadrant™ for Hybrid Mesh Firewall Get the Report Learn more about Secure Networking » Enterprise Networking LAN Switching Chassis Switching WLAN High-Density NAC NOC Management Cloud-based LAN Management Centralized Management AIOps GenAI for NOC Operating System FortiOS WAN Secure SD-WAN 5G/LTE Wireless WAN Latest from Fortinet Fortinet Named a Leader in the 2025 Gartner® Magic Quadrant™ for Enterprise Wired and Wireless LAN Infrastructure Get the Report Learn more about Secure Networking » Unified SASE SASE SASE Secure SD-WAN Universal ZTNA FortiSASE Sovereign Services AI-Powered Security Services Operating ### Senior Applied Scientist, Healthcare and Life Science Services - Amazon - Location: Seattle, Washington, USA (unspecified) - Salary: $167K-$226K - Posted: 2026-05-27 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10431866/senior-applied-scientist-healthcare-and-life-science-services - Excerpt: Senior Applied Scientist, Healthcare and Life Science Services Seattle, Washington, USA We are looking for an exceptional senior applied scientist to join the AWS Applied AI Life Sciences organization. You will invent, implement, and deploy state of the art machine learning algorithms and intelligent AI systems to solve complex problems in life sciences area, making a meaningful impact on patient lives. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and world famous scientists. Key job responsibilities - Design, develop, and deploy novel Agentic systems and ML solutions for complex healthcare challenges - Navigate ambiguity and create clarity in early-stage product development - Establish best practices for ML experimentation, evaluation, development and deployment - Collaborate with product managers, engineers, and domain experts to transform research into production-quality features - Mentor junior scientists and contribute to the technical strategy of the team A day in the life You will solve real-world problems by getting and analyzing large amounts of data, generate insights and opportunities, design simulations and experiments, and develop statistical and ML models. Basic Qualifications: - PhD, or Master's degree and 8+ years of applied research experience - 8+ years of building machine learning models for business application experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning - Proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, etc.) - Applied Research experience in Bioinformatics, Pharmacology, Pharmacometrics, ### Senior Forward Deployed Deep Learning Architect, Generative AI Innovation Center - Amazon - Location: Seoul, KOR (unspecified) - Salary: Not disclosed - Posted: 2026-03-26 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10376735/senior-forward-deployed-deep-learning-architect-generative-ai-innovation-center - Excerpt: Senior Forward Deployed Deep Learning Architect, Generative AI Innovation Center Seoul, KOR Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We're looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the-art solutions for never-before-solved problems. Key job responsibilities As a Deep Learning Architect, you will • Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges • Interact with customers directly to understand their business problems, aid them ### Research Scientist, Last Mile Science - Amazon - Location: Bengaluru, Karnataka, IND (unspecified) - Salary: Not disclosed - Posted: 2025-09-05 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3075733/research-scientist-last-mile-science - Excerpt: Research Scientist, Last Mile Science Bengaluru, Karnataka, IND Are you passionate about solving complex logistics challenges? Our Analytics team is at the forefront of enhancing delivery experiences through data-driven solutions and innovative technology. As a Research Scientist, you will join a team dedicated to optimizing our delivery network, ensuring reliable and efficient service to our customers. We are seeking an enthusiastic, customer-centric professional with strong analytical capabilities to drive impactful projects, implement advanced solutions, and develop scalable processes. In this role, you will have immediate ownership of business-critical challenges and the opportunity to make strategic, data-driven decisions that shape the future of our delivery operations. Your work will directly influence customer experience and operational excellence. The ideal candidate will possess both research science capabilities and program management skills, thriving in an environment that requires independent decision-making and comfort with ambiguity. This role offers the opportunity to make a significant impact on our advanced logistics network while working with pioneering technology and data science applications. Basic qualifications • 3+ years of building machine learning models for business application experience • Knowledge of programming languages such as C/C++, Python, Java or Perl • Experience programming in Java, C++, Python or related language • Experience with neural deep learning methods and machine learning Preferred qualifications: • PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field • 3+ years of extensive relevant research experience • Deep expertise in Machine Learning • Proficiency in programming • Core ### Software Development Manager, Neuron Tools, Annapurna Labs - Amazon - Location: Seattle, Washington, USA (unspecified) - Salary: $185K-$250K - Posted: 2026-01-27 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3167861/software-development-manager-neuron-tools-annapurna-labs - Excerpt: Software Development Manager, Neuron Tools, Annapurna Labs Seattle, Washington, USA AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the Trn1 and Inf1 servers that use them. As the Software Development Manager for the Tools Team, you will be responsible for leading a talented team of engineers to develop and maintain high-performance monitoring and profiling tools for machine learning applications and AI accelerators. You will oversee the design, development, and deployment of the Neuron Profiler and other Neuron Tools. The profiler plays a crucial role to internal and external customers in optimizing AI workloads across hardware platforms such as Trainium and Inferentia devices, by providing deep insights into performance bottlenecks and system behavior. In this role, you will manage the full development life cycle of the Neuron Profiler/Tools toolchain, ensuring scalability, reliability, and usability. You will collaborate with cross-functional teams to ensure that the our C++ compiler and runtime generates key information so customers can understand and optimize the performance of our custom hardware. Additionally, you will drive innovations that allow the profiler to support multiple frameworks, such as PyTorch, TensorFlow, and XLA. A successful candidate will have an established background in building AI/ML and performance analysis tools. Experience with ML-specific profiler tools (like PyTorch Profiler or TensorFlow Profiler) is highly desirable, along with along with direct customer-facing experience and a strong motivation to achieve results. A day in the life day in the life You will work with the executive ### Member of Technical Staff, Artificial General Intelligence - Amazon - Location: Sunnyvale, California, USA (unspecified) - Salary: Not disclosed - Posted: 2026-05-05 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10411805/member-of-technical-staff-artificial-general-intelligence - Excerpt: Member of Technical Staff, Artificial General Intelligence Sunnyvale, California, USA The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Member of Technical Staff with a strong deep learning background, to build industry-leading Generative Artificial Intelligence (GenAI) technology with Large Language Models (LLMs) and multimodal systems. Key job responsibilities As a Member of Technical Staff with the AGI team, you will support the development of algorithms and modeling techniques, to advance the state of the art with LLMs. You will support the foundational model development in an applied research role, including model training, dataset design, and pre- and post-training optimization. Your work will directly impact our customers in the form of products and services that make use of GenAI technology. You will leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances in LLMs. About the team The AGI team has a mission to push the envelope in GenAI with LLMs and multimodal systems, in order to provide the best-possible experience for our customers. Basic Qualifications: - PhD, or Master's degree and 1+ years of CS, CE, ML or related field experience - Experience with neural deep learning methods and machine learning - 1+ years of building models for business application experience - Experience programming in Java, C++, Python or related language Preferred Qualifications: - PhD in Computer Science, Computer Engineering, Machine Learning or related field - Strong experience with Generative Artificial Intelligence (GenAI) technologies and Large Language Models (LLMs) - Experience with patents ### Staff Software Engineer, Machine Learning, GeminiApp Personalization, DeepMind - DeepMind - Location: Mountain View, CA, USA (unspecified) - Salary: $207K-$301K - Posted: 2026-06-04 - Parental leave: 18 weeks (not source-backed) - Non-birth-parent leave: 18 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckUdHMNQuPZps7QwsaQVVdPXlxPCKmFFNubll-lcgH7wOEjsACxwdTJfWF0oYSLDkHM6WLLpcfT9jpoYE-_o8bnYDEmyHlF8IYz5XqsxIVIM8Uc9oCeQBLNf7hpRArQ%3D%3D_V2&loc=US&title=Staff+Software+Engineer - Excerpt: Staff Software Engineer, Machine Learning, GeminiApp Personalization, DeepMind Mountain View, CA, USA At Google DeepMind our mission is to build the world's first general-purpose learning agent. Central to this mission is the complex task of measuring the intelligence of our prototypes. As a Software Engineer, you will be working with the cutting edge AI agents developed by our exceptional team of Machine Learning and Neuroscience research scientists. Your responsibilities will include everything from creating systems for agent testing using 2D and 3D games to developing test problems within physics simulators. You will create graphical visualization of results, build competitive agent leaderboards and test new algorithms on robots. To succeed in this role you will need to have a strong foundation in software engineering and enjoy working on a wide range of challenging problems within a mission-driven team. In this role, you will be focused on building Google's next-generation AI assistant. You will empower billions of people by offering personalized products that serve as a seamless extension of their intellect. You will help build a personal AI assistant that continuously absorbs, organizes, and effortlessly recalls the unique interests, passions, and curiosities of individuals, evolving alongside them to amplify their everyday thinking. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit ### Applied Scientist II, Amazon Quick - Amazon - Location: Santa Clara, California, USA (unspecified) - Salary: $172K-$222K - Posted: 2026-05-17 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10421916/applied-scientist-ii-amazon-quick - Excerpt: Applied Scientist II, Amazon Quick Santa Clara, California, USA AWS, the world-leading provider of cloud services, has fostered the creation and growth of countless new businesses, and is a positive force for good. Our customers bring problems that will give Applied Scientists like you endless opportunities to see your research have a positive and immediate impact in the world. You will have the opportunity to partner with technology and business teams to solve real-world problems, have access to virtually endless data and computational resources, and to world-class engineers and developers that can help bring your ideas into the world. As part of the team, we expect that you will develop innovative solutions to hard problems, and publish your findings at peer reviewed conferences and workshops. We are looking for world class researchers with experience in one or more of the following areas - autonomous agents, API orchestration, Planning, large multimodal models (especially vision-language models), reinforcement learning (RL) and sequential decision making. * Define and implement new automated reasoning features that employ scalable and efficient approaches to solve complex problems using neural learning and symbolic/formal reasoning * Apply software engineering best practices to ensure a high standard of quality for all team deliverables * Work in an agile, startup-like development environment * Deliver high-quality scientific artifacts * Work with the team to help drive business decisions About the team Why AWS? AWS is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - ### ML Infrastructure Engineer, Fauna - Amazon - Location: New York, New York, USA (unspecified) - Salary: $185K-$250K - Posted: 2026-05-15 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10421819/ml-infrastructure-engineer-fauna - Excerpt: ML Infrastructure Engineer, Fauna New York, New York, USA We are seeking a Machine Learning Engineer to work directly alongside our research scientists to train, evaluate, and deploy the models that make our robots move, perceive, and act in the real world. This is a hands-on ML role: you will train policies, debug convergence, run experiments in simulation, and push models onto hardware - not just build the pipes around them. You'll bring deep expertise in reinforcement learning, computer vision, and supervised learning applied to robotics and embodied systems. You also need to think seriously about training infrastructure - managing GPU clusters, optimizing distributed training, and shipping models to edge devices - but the core of this role is getting in the loop with scientists and making models work. Key job responsibilities Train and iterate on neural network policies for locomotion, manipulation, navigation, and perception using reinforcement and supervised learning Design and run experiments in simulation (Isaac Lab, MuJoCo, or similar) and transfer results to physical hardware Debug training runs end-to-end: diagnosing convergence failures, reward shaping issues, data quality problems, and sim-to-real gaps Optimize models for deployment on edge hardware (NVIDIA Jetson) with strict latency and memory constraints Build and maintain MLOps infrastructure: experiment tracking, model versioning, evaluation pipelines, and reproducible training workflows About the team Fauna Robotics, an Amazon company, is building capable, safe, and genuinely delightful robots for everyday life. Our goal is simple: make robots people actually want to live and interact with in everyday human spaces. ### Member of Technical Staff - Robot Manipulation & Learning, Frontier AI Robotics - Amazon - Location: San Francisco, California, USA (unspecified) - Salary: $150K-$300K - Posted: 2026-05-13 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10418413/member-of-technical-staff-robot-manipulation-learning-frontier-ai-robotics - Excerpt: Member of Technical Staff - Robot Manipulation & Learning, Frontier AI Robotics San Francisco, California, USA We are seeking to hire software engineers who are excited about research for robot manipulation with the goal of developing manipulation systems at human-level performance. Our strategy focuses on a real2sim2real pipeline that learns from large scale human videos and leverage simulation and reinforcement learning to bridge the human-to-robot embodiment gap. Key job responsibilities • Learning manipulation: Design and implement robot learning algorithms for manipulation • Leverage vision models to extract 3D hand-object manipulation information from real-world situations • Develop large-scale real2sim2real pipeline for manipulation • Multimodal Sensor Fusion: Integrate tactile sensing, proprioception and vision into the learning pipeline About the team At Frontier AI & Robotics (FAR), we're not just advancing robotics - we're reimagining it from the ground up. Our team is building the future of intelligent robotics through frontier foundation models and end-to-end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real-world scenarios. What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon's massive computational infrastructure and rich real-world datasets to train and deploy state-of-the-art foundation models. Our work spans the full spectrum of robotics intelligence - from multimodal perception using images, videos, and sensor data, to sophisticated manipulation strategies that can handle diverse real-world scenarios. We're building systems that don't just work ### Software Engineer I - AI/ML, AWS Neuron Distributed Training - Amazon - Location: Cupertino, California, USA (unspecified) - Salary: $127K-$185K - Posted: 2026-06-02 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Surrogacy assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10438055/software-engineer-i-ai-ml-aws-neuron-distributed-training - Excerpt: Software Engineer I - AI/ML, AWS Neuron Distributed Training Cupertino, California, USA Annapurna Labs designs silicon and software that accelerates innovation. Our custom chips, accelerators, and software stacks enable us to tackle unprecedented technical challenges and deliver solutions that help customers change the world. AWS Neuron is the complete software stack powering AWS Trainium (Trn2/Trn3), our cloud scale Machine Learning accelerators and we are seeking a Senior Software Engineer to join our ML Distributed Training team. In this role, you will be responsible for the development, enablement, and performance optimization of large scale ML model training across diverse model families. This includes massive scale pre-training and post-training of LLMs with Dense and Mixture-of-Experts architectures, Multimodal models that are transformer and diffusion based, and Reinforcement Learning workloads. You will work at the intersection of ML research and high performance systems, collaborating closely with chip architects, compiler engineers, runtime engineers and AWS solution architects to deliver cost-effective, performant machine learning solutions on AWS Trainium based systems. Key job responsibilities You will contribute to the design and implementation of distributed training solutions for large-scale ML models running on Trainium instances. A significant part of your work will involve extending and optimizing popular distributed training frameworks including FSDP, torchtitan, and Hugging Face libraries for the Neuron ecosystem. A core focus of this role involves developing and optimizing mixed-precision and low-precision training techniques. You will work with BF16, FP8, and emerging numerical formats to improve training throughput while maintaining model accuracy and convergence quality. This ### Applied Scientist, AWS Quick - Amazon - Location: Santa Clara, California, USA (unspecified) - Salary: $172K-$222K - Posted: 2026-05-22 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/10428527/applied-scientist-aws-quick - Excerpt: Applied Scientist, AWS Quick Santa Clara, California, USA Come join the AWS Agentic AI science team in building the next generation models for intelligent automation. AWS, the world-leading provider of cloud services, has fostered the creation and growth of countless new businesses, and is a positive force for good. Our customers bring problems that will give Applied Scientists like you endless opportunities to see your research have a positive and immediate impact in the world. You will have the opportunity to partner with technology and business teams to solve real-world problems, have access to virtually endless data and computational resources, and to world-class engineers and developers that can help bring your ideas into the world. As part of the team, we expect that you will develop innovative solutions to hard problems, and publish your findings at peer reviewed conferences and workshops. We are looking for world class researchers with experience in one or more of the following areas - autonomous agents, API orchestration, Planning, large multimodal models (especially vision-language models), reinforcement learning (RL) and sequential decision making. * Define and implement new automated reasoning features that employ scalable and efficient approaches to solve complex problems using neural learning and symbolic/formal reasoning * Apply software engineering best practices to ensure a high standard of quality for all team deliverables * Work in an agile, startup-like development environment * Deliver high-quality scientific artifacts * Work with the team to help drive business decisions About the team Why AWS? Amazon Web Services (AWS) --- Source-backed benefit claims include source links; other benefit values are labeled separately.