# FewerJobs export - 100 curated jobs
Generated: 2026-08-14T00:31:55.318Z
Source: https://fewerjobs.com

## Filters applied
- **q**: Deepgram
- **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
### Research Engineer, Pretraining, DeepMind - DeepMind
- Location: New York, NY, USA (unspecified)
- Salary: $174K-$253K
- 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=CiUAL2FckSqbk8O_UBMke1PrcO5R81HM7xy9Fzq_C0bQRVVVFADJEjsACxwdTB62i8R0jumWJDlQoL-yDgVDCYUyKXb2AolbkxhdIr1K3Q7X5LzFuaBr4qGuJRbb82bUkupeIg%3D%3D_V2&loc=US&title=Research+Engineer
- Excerpt: Research Engineer, Pretraining, DeepMind New York, NY, 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. 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: $174000 - $253000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Focus on

### Pretraining codebase SWE, DeepMind - DeepMind
- Location: Mountain View, CA, USA (unspecified)
- Salary: $174K-$253K
- 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=CiUAL2FckUr5aWfyvRuIa3BkLBukinjE5K_zx2786lF4ZWi2LsrBEjsACxwdTJp25kxFL83SUCSnqDGxnWaInfQnTgaioCynqOXM3Plx6GI6N6RpwERf8CT0CFwe18iOdnGmpQ%3D%3D_V2&loc=US&title=Pretraining+codebase+SWE
- Excerpt: Pretraining codebase SWE, 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. 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: $174000 - $253000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Enable day

### Senior Technical Program Manager, Machine Learning Hardware, 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=CiUAL2FckRuLsH_LLI5Mws7tPtOXGmgC41OuYPU1mi0cB2RvGdm_EjsACxwdTCDC_46oGoS1bP__fvYGLsnX0ZhQpmy2PQlWOYASsxCdStkF0aCb22-PSpj5JZpDDvNAK6hFuw%3D%3D_V2&loc=US&title=Senior+Technical+Program+Manager
- Excerpt: Senior Technical Program Manager, Machine Learning Hardware, DeepMind Mountain View, CA, USA Google's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily. As a Technical Program Manager at Google, you lead complex, multi-disciplinary engineering projects using your engineering expertise. You plan requirements with internal customers and usher projects through the entire project lifecycle. This includes managing project schedules, identifying risks and clearly communicating them to project stakeholders. You're equally at home explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers. Using your extensive technical and leadership expertise, you manage projects of various size and scope, identifying future opportunities, improving processes and driving the technical directions of your programs. We are seeking a talented and highly motivated Machine Learning Hardware Program Manager to join our team. In this role, you will drive the program execution of our custom silicon portfolio, which spans both highly experimental research tracks and production-grade deployments. You will manage complex program life cycles across a hybrid ecosystem of internal engineering teams, cross-functional ML research collaborators, and silicon partners. You will work in close partnership with overall program leadership to ensure milestones are met, risk mitigation plans are executed, and seamless communication is maintained across all technical domains. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI

### Staff ML Engineer, Fine Tuning - Slack - Salesforce
- Location: Washington - Seattle; Georgia - Atlanta; California - San Francisco (unspecified)
- Salary: $238K-$345K
- Posted: 2026-05-29
- Parental leave: 26 weeks (not source-backed)
- Non-birth-parent leave: 12 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://careers.salesforce.com/en/jobs/jr344115/staff-ml-engineer-fine-tuning-slack/
- Excerpt: Staff ML Engineer, Fine Tuning - Slack Washington - Seattle; Georgia - Atlanta; California - San Francisco *IN SCHOOL OR GRADUATED WITHIN THE LAST 12 MONTHS? PLEASE VISIT FUTURE FORCE FOR OPPORTUNITIES* Slack is looking for a Staff Machine Learning Engineer with deep expertise in model training and finetuning to join our ML team. You'll design, train, and ship NLP models that power core product experiences - from summarization and search ranking to generative AI features used by millions daily. This role is hands-on: you'll work at a low level with training frameworks, optimize model architectures, build finetuning pipelines, and own the full lifecycle from experiment to production. At Slack, that impact can be huge: We have over 10 million daily active users relying on our product. At peak usage, a million messages a minute pass through Slack. During the week, our users spend over a billion minutes a day active in our product. Machine learning engineers at Slack ship models that serve millions of users daily. This role owns that end-to-end: finetuning models for Slack's NLP tasks and putting them into production with the rigor and reliability our users expect. We're not looking for someone who hands off a checkpoint - we want someone who sees it through to serving traffic. Broader ML skills - data pipelines, experimentation, feature engineering - are valuable here too, but deep training and productionization expertise is the core of this role. This is a practical machine learning team, not a research team. Our

### Machine Learning Engineer, CreativeX - Amazon
- Location: New York, New York, USA (unspecified)
- Salary: $158K-$214K
- 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)
- Apply: https://www.amazon.jobs/en/jobs/10421033/machine-learning-engineer-creativex
- Excerpt: Machine Learning Engineer, CreativeX New York, New York, USA The CreativeX RAPID (Real-time Ad Personalization & Insights Development) team is seeking passionate and talented Machine Learning Engineer to join us. CreativeX is on a mission to enable brands of all sizes and categories to create, serve, measure, and optimize creative content with ease. Our team is responsible for tailoring the visual experience of ads to each context in real-time, leveraging nouvelle technologies such as latent diffusion models, large language models (LLM), reinforced learning (RL), computer vision, and related methods. Our mission is to provide engaging, dynamically optimized creatives with low latencies both on and off Amazon for self-service brand advertisers. We automate the customization of product creatives with real-time catalog data while providing advertisers with the flexibility to customize their creatives according to their preferences. Key job responsibilities - Quickly acquire knowledge of nouvelle technologies in Generative AI to solve complex problems in the Dynamic Creative Optimization (DCO) domain. - Investigate design approaches, prototype new technologies, and evaluate their technical feasibility, such as Auto ML, real-time ML serving systems. - Collaborate with scientists to design and build data pipelines for processing massive datasets and scaling machine learning models. - Develop and maintain platforms for developing, evaluating, and deploying machine learning models for real-world applications. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least

### 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

### Machine Learning Engineer - Evergreen - Adobe Inc.
- Location: Bucharest (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bucharest/Machine-Learning-Engineer---Evergreen_R158699-1
- Excerpt: Machine Learning Engineer - Evergreen Bucharest posted: Posted 30+ Days Ago

### 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

### 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

### Machine Learning Engineer - Amgen
- Location: India - Hyderabad (unspecified)
- Salary: Not disclosed
- 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)
- Apply: https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Machine-Learning-Engineer_R-245679
- Excerpt: Machine Learning Engineer India - Hyderabad posted: Posted 7 Days Ago

### Associate Machine Learning Engineer - Amgen
- Location: India - Hyderabad (unspecified)
- Salary: Not disclosed
- 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)
- Apply: https://amgen.wd1.myworkdayjobs.com/Careers/job/India---Hyderabad/Associate-Machine-Learning-Engineer_R-245678
- Excerpt: Associate Machine Learning Engineer India - Hyderabad posted: Posted 7 Days Ago

### Machine Learning Engineer - 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/Machine-Learning-Engineer_R-234229
- Excerpt: Machine Learning Engineer India - Hyderabad posted: Posted 30+ Days Ago

### Machine Learning Engineer - 5 - Adobe Inc.
- Location: Bangalore (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bangalore/Machine-Learning-Engineer---5_R168703-1
- Excerpt: Machine Learning Engineer - 5 Bangalore posted: Posted 30+ Days Ago

### Sr Machine Learning Engineer - 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-Machine-Learning-Engineer_R-216773
- Excerpt: Sr Machine Learning Engineer India - Hyderabad posted: Posted 30+ Days Ago

### Associate Machine Learning Engineer - 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/Associate-Machine-Learning-Engineer_R-243757
- Excerpt: Associate Machine Learning Engineer India - Hyderabad posted: Posted 30+ Days Ago

### Machine Learning Engineer - 3 - Adobe Inc.
- Location: Bangalore (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bangalore/Software-Development-Engineer_R165002-1
- Excerpt: Machine Learning Engineer - 3 Bangalore posted: Posted 30+ Days Ago

### 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

### Principal Machine Learning Engineer - 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/Principal-Data-Scientist_R-235900
- Excerpt: Principal Machine Learning Engineer India - Hyderabad posted: Posted 30+ Days Ago

### Senior Machine Learning Engineer - Leidos
- Location: Vista, CA (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-14
- Parental leave: 4 weeks (not source-backed)
- Non-birth-parent leave: 4 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://leidos.wd5.myworkdayjobs.com/External/job/Vista-CA/Senior-Machine-Learning-Engineer_R-00183315
- Excerpt: Senior Machine Learning Engineer Vista, CA posted: Posted 29 Days Ago

### 2026 University Graduate - Machine Learning Engineer - Adobe Inc.
- Location: Seattle (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Seattle/XMLNAME-2026-University-Graduate---Machine-Learning-Engineer_R160133
- Excerpt: 2026 University Graduate - Machine Learning Engineer Seattle posted: Posted 30+ Days Ago

### Senior Machine Learning Engineer - Amgen
- Location: United States - Remote (remote)
- Salary: Not disclosed
- Posted: 2026-06-10
- 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/United-States---Remote/Senior-Machine-Learning-Engineer_R-246361
- Excerpt: Senior Machine Learning Engineer United States - Remote posted: Posted 2 Days Ago

### Senior Machine Learning Engineer - Adobe Inc.
- Location: San Jose (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-18
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Senior-Machine-Learning-Engineer_R160087
- Excerpt: Senior Machine Learning Engineer San Jose posted: Posted 25 Days Ago

### Machine Learning Engineer - Express Scripts Canada - The Cigna Group
- Location: Mississauga, ON (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- 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://cigna.wd5.myworkdayjobs.com/cignacareers/job/Mississauga-ON/Machine-Learning-Engineer---Express-Scripts-Canada_26003669-1
- Excerpt: Machine Learning Engineer - Express Scripts Canada Mississauga, ON posted: Posted 30+ Days Ago

### Machine Learning Engineer - Adobe Inc.
- Location: San Jose (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-05
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Machine-Learning-Engineer_R169199-1
- Excerpt: Machine Learning Engineer San Jose posted: Posted 7 Days Ago

### Machine Learning Engineer - Adobe Inc.
- Location: San Jose (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-04
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Machine-Learning-Engineer_R167407
- Excerpt: Machine Learning Engineer San Jose posted: Posted 8 Days Ago

### Machine Learning Engineer - Adobe Inc.
- Location: San Jose (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Senior-Machine-Learning-Engineer_R165365
- Excerpt: Machine Learning Engineer San Jose posted: Posted 30+ Days Ago

### Senior Applied Machine Learning Engineer - Adobe Inc.
- Location: San Jose (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-16
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Senior-Applied-Machine-Learning-Engineer--Typographic-Intelligence_R166553
- Excerpt: Senior Applied Machine Learning Engineer San Jose posted: Posted 27 Days Ago

### Machine Learning Engineer - CyberArk
- Location: Office - USA - CA - Headquarters (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://paloaltonetworks.wd5.myworkdayjobs.com/panwexternalcareers/job/Office---USA---CA---Headquarters/Machine-Learning-Engineer_JR-010194
- Excerpt: Machine Learning Engineer Office - USA - CA - Headquarters posted: Posted 30+ Days Ago

### Machine Learning Engineer - Adobe Inc.
- Location: 2 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-08
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Machine-Learning-Engineer_R167868
- Excerpt: Machine Learning Engineer 2 Locations posted: Posted 4 Days Ago

### Senior Machine Learning Engineer - Adobe Inc.
- Location: 3 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Francisco/Senior-Machine-Learning-Engineer_R166334
- Excerpt: Senior Machine Learning Engineer 3 Locations posted: Posted 30+ Days Ago

### 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

### Program Manager, Social Media Strategy, DeepMind - DeepMind
- Location: New York, NY, USA; +1 more (unspecified)
- Salary: $228K-$248K
- 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=CiUAL2FckT-X0zaEXoMC_5WVvAa9DHe-LwuCsPBTVLtyP_WuvSYjEjsACxwdTGUAMpItXP2pKgRpB8eyamld9IgRg7sNua8RTFwawTZwwIxRvz1TOIQ2SLjSNrS4iWvQkBnEqg%3D%3D_V2&loc=US&title=Program+Manager
- Excerpt: Program Manager, Social Media Strategy, DeepMind New York, NY, USA; +1 more As a Program Manager, you will help shape and amplify the digital presence of our executive leaders. In this role, you will develop leadership's social media strategy and drive its execution from writing social media copy and coordinating with social media producers to liaising with various business units. You will be focused on elevating the executive's perspective as a thought leader at the forefront of AI and scientific discovery, while identifying opportunities to grow impact across social media channels. You will be navigating a complex, fast-moving landscape, and aligning across the broader Social Media team, insights and metrics, external communications, and executive communications. You will also partner closely with various business units and Product teams to translate technical breakthroughs and strategic milestones into engaging social narratives. You will connect the dots across a global organization to increase the impact of one of the world's leading scientific perspectives. 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. Individual pay

### 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

### 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

### Applied AI - Machine Learning Engineer - 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/Applied-AI---Machine-Learning-Engineer_R-240253
- Excerpt: Applied AI - Machine Learning Engineer India - Hyderabad posted: Posted 30+ Days Ago

### Machine Learning Engineer - II - Adobe Inc.
- Location: 2 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Noida/Machine-Learning-Engineer---II_R167946
- Excerpt: Machine Learning Engineer - II 2 Locations posted: Posted 30+ Days Ago

### Visual Designer, AIUX, DeepMind - DeepMind
- Location: San Francisco, CA, USA (unspecified)
- Salary: $159K-$231K
- 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=CiUAL2FckVCxJUcmAhINMmihMyMc0z8O8eYz_yqpaWklEI0F3ZqkEjsACxwdTM_-qt53Ywu4t6E19_HMleWibu2O5hjVz1yRcnOC4uszqwD2wRg4ScDimNRqshwsqqzDGbhDoA%3D%3D_V2&loc=US&title=Visual+Designer
- Excerpt: Visual Designer, AIUX, DeepMind San Francisco, CA, USA At Google, we "Focus on the user and all else will follow." Our Visual Designers weave space, typography, color, and iconography to help people successfully navigate our products, ensuring they are beautiful and accessible. You will join our multi-disciplinary UX team, collaborating with Engineering and Product Management, to leverage user insights and create industry-leading products. As a Visual Designer, you will rely on user-centered design methods to craft industry-leading user experiences from concept to execution. You will collaborate with your design partners to leverage and evolve the Google design language to build beautiful, innovative, inspired products that people love to use. 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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $159000 - $231000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Lead visual design direction from early ideation and concept development through to compelling, high-fidelity proofs-of-concept.

### 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 Machine Learning Engineer, AI Platform - Adobe Inc.
- Location: San Jose (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Senior-Machine-Learning-Engineer_R166678
- Excerpt: Senior Machine Learning Engineer, AI Platform San Jose posted: Posted 30+ Days Ago

### Machine Learning Engineer 4 - Adobe Inc.
- Location: San Jose (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Machine-Learning-Engineer-4_R166984
- Excerpt: Machine Learning Engineer 4 San Jose posted: Posted 30+ Days Ago

### Machine Learning Researcher (NLP) - The Boeing Company
- Location: KOR - Seoul, South Korea (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-12
- Parental leave: 12 weeks (not source-backed)
- Non-birth-parent leave: 12 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://boeing.wd1.myworkdayjobs.com/External_Careers/job/KOR---Seoul-South-Korea/Machine-Learning-Researcher--NLP-_JR2026514641-1
- Excerpt: Machine Learning Researcher (NLP) KOR - Seoul, South Korea posted: Posted Today

### Senior Machine Learning Engineer - Workday, Inc.
- Location: 2 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 12 weeks (not source-backed)
- Non-birth-parent leave: 12 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://workday.wd5.myworkdayjobs.com/Workday/job/Canada-ON-Toronto/Senior-Machine-Learning-Engineer_JR-0106107
- Excerpt: Senior Machine Learning Engineer 2 Locations posted: Posted 30+ Days Ago

### Sr Machine Learning Engineer - Adobe Inc.
- Location: San Jose (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Sr-Machine-Learning-Engineer-4_R165400-1
- Excerpt: Sr Machine Learning Engineer San Jose posted: Posted 30+ Days Ago

### Machine Learning Services Engineer - Firefly - Adobe Inc.
- Location: Bucharest (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bucharest/Machine-Learning-Services-Engineer---Firefly_R164500
- Excerpt: Machine Learning Services Engineer - Firefly Bucharest posted: Posted 30+ Days Ago

### Sr. Machine Learning - Compiler Engineer III, AWS Neuron, Annapurna Labs - Amazon
- Location: Cupertino, California, USA (unspecified)
- Salary: $193K-$262K
- 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/10432392/sr-machine-learning-compiler-engineer-iii-aws-neuron-annapurna-labs
- Excerpt: Sr. Machine Learning - Compiler Engineer III, 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 cutting-edge 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 senior 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 other teams and will be involved in pre-silicon design, bringing new products/features to market, and many other exciting projects. Experience in object-oriented languages like C++/Java is a must,

### Principal Machine Learning Engineer - Workday, Inc.
- Location: 3 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-05
- Parental leave: 12 weeks (not source-backed)
- Non-birth-parent leave: 12 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://workday.wd5.myworkdayjobs.com/Workday/job/USA-WA-Seattle/Principal-Machine-Learning-Engineer_JR-0107128
- Excerpt: Principal Machine Learning Engineer 3 Locations posted: Posted 7 Days Ago

### 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

### Machine Learning Engineer, Express AI Foundations - Adobe Inc.
- Location: San Jose (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Machine-Learning-Engineer--Express-AI-Foundations_R167647
- Excerpt: Machine Learning Engineer, Express AI Foundations San Jose posted: Posted 30+ Days Ago

### Dir, Machine Learning Eng - Adobe Inc.
- Location: San Jose (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Dir--Machine-Learning-Eng_R154342-1
- Excerpt: Dir, Machine Learning Eng San Jose posted: Posted 30+ Days Ago

### Machine Learning Engineer/Senior Machine Learning Engineer - Evisort - Workday, Inc.
- Location: 2 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-09
- Parental leave: 12 weeks (not source-backed)
- Non-birth-parent leave: 12 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://workday.wd5.myworkdayjobs.com/Workday/job/Canada-BC-Vancouver/Machine-Learning-Engineer---Evisort_JR-0103943-1
- Excerpt: Machine Learning Engineer/Senior Machine Learning Engineer - Evisort 2 Locations posted: Posted 3 Days Ago

### Principal Engineer Software (Machine Learning) - CyberArk
- Location: Santa Clara, United States of America (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)
- Apply: https://paloaltonetworks.wd5.myworkdayjobs.com/panwexternalcareers/job/Santa-Clara-United-States-of-America/Principal-Engineer-Software_JR-015586
- Excerpt: Principal Engineer Software (Machine Learning) Santa Clara, United States of America posted: Posted 4 Days Ago

### Senior Technical Program Manager Lead, Gemini Audio, DeepMind - DeepMind
- Location: Mountain View, CA, USA; +1 more (unspecified)
- Salary: $300K-$334K
- 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=CiUAL2FckZByqyrY3aPTgBdsLkn4cHkIRDkIsXpk0v3v0GRWEXVKEjsACxwdTAgaX5Tfu6AtCPriuLVNUsKy-lK0JwTBiPz2CHl6z2zgNjr5DfBidA7w-Vwqni1wCXyrlk5KeQ%3D%3D_V2&loc=US&title=Senior+Technical+Program+Manager+Lead
- Excerpt: Senior Technical Program Manager Lead, Gemini Audio, DeepMind Mountain View, CA, USA; +1 more Join our team and dive into one of the most exciting and rapidly evolving areas in AI development. In this multifaceted role, you'll drive impact across the entire lifecycle, focusing on end-to-end model quality. You will be closely collaborating with Researchers, Data Scientists, serving/deployment, and product teams to ensure high-quality model deliveries. 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: $300000 - $334000 (USD) + 25% bonus target + bonus + equity + benefits Learn more about benefits at Google . Collaborate with modeling and capability teams to track training priorities, analyze evaluation and experimentation results, and coordinate feedback to improve models. Apply deep AI evaluation methodologies, working with data scientists to design and execute evals and perform loss analysis to measure and improve model quality. Manage the entire release cycle, including checkpoint uploads, documentation, deployment/serving coordination,

### Sr. Machine Learning Engineer - CyberArk
- Location: Office - USA - CA - Headquarters (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://paloaltonetworks.wd5.myworkdayjobs.com/panwexternalcareers/job/Office---USA---CA---Headquarters/Sr-Machine-Learning-Engineer_JR-013400
- Excerpt: Sr. Machine Learning Engineer Office - USA - CA - Headquarters posted: Posted 30+ Days Ago

### Machine Learning Engineer II (Fraud) - Affirm
- Location: Remote Canada (remote)
- Salary: $128K-$188K
- 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://job-boards.greenhouse.io/affirm/jobs/7695818003
- Excerpt: Machine Learning Engineer II (Fraud) Remote Canada

### 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

### Senior Machine Learning Engineer/Machine Learning Engineer III - Workday, Inc.
- Location: USA, WA, Seattle (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-11
- Parental leave: 12 weeks (not source-backed)
- Non-birth-parent leave: 12 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://workday.wd5.myworkdayjobs.com/Workday/job/USA-WA-Seattle/Senior-Machine-Learning-Engineer-Machine-Learning-Engineer-III_JR-0107996
- Excerpt: Senior Machine Learning Engineer/Machine Learning Engineer III USA, WA, Seattle posted: Posted Yesterday

### Sr. Machine Learning Engineer 4 - Adobe Inc.
- Location: 2 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-08
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Sr-Machine-Learning-Engineer-4_R166104
- Excerpt: Sr. Machine Learning Engineer 4 2 Locations posted: Posted 4 Days Ago

### 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

### Technical Program Manager, Safety, Alignment and Collaboration, 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=CiUAL2FckQmAt1PtdMULbWLD7aXDUrKoTrNQO4ciCo9Pj9IgZC3ZEjsACxwdTJ89RXLbJee5h5ruNEqsZ9CXc2-h4K63OdxQOzMeywHvbsgDT5HGn3wHor0fdq8zbK0CvTdXvA%3D%3D_V2&loc=US&title=Technical+Program+Manager
- Excerpt: Technical Program Manager, Safety, Alignment and Collaboration, DeepMind Mountain View, CA, USA Google's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily. As a Technical Program Manager at Google, you lead complex, multi-disciplinary engineering projects using your engineering expertise. You plan requirements with internal customers and usher projects through the entire project lifecycle. This includes managing project schedules, identifying risks and clearly communicating them to project stakeholders. You're equally at home explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers. Using your extensive technical and leadership expertise, you manage projects of various size and scope, identifying future opportunities, improving processes and driving the technical directions of your programs. This role is on the Post-Training & Alignment Technical Program Management (TPgM) team. We drive the technical design and execution for the post-training area in GenAI at DeepMind, enabling teams to make rapid progress on our mission. In this role, you will drive and own operational processes across safety, alignment & collaboration. 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

### Principal Machine Learning Engineer - Evisort AI - Workday, Inc.
- Location: 6 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-10
- Parental leave: 12 weeks (not source-backed)
- Non-birth-parent leave: 12 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://workday.wd5.myworkdayjobs.com/Workday/job/USA-WA-Seattle/Principal-Machine-Learning-Engineer---Evisort-AI_JR-0098981
- Excerpt: Principal Machine Learning Engineer - Evisort AI 6 Locations posted: Posted 2 Days Ago

### Computer Vision AI/ML Engineer - Leidos
- Location: Huntsville, AL (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 4 weeks (not source-backed)
- Non-birth-parent leave: 4 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://leidos.wd5.myworkdayjobs.com/External/job/Huntsville-AL/Computer-Vision-AI-ML-Engineer_R-00177556
- Excerpt: Computer Vision AI/ML Engineer Huntsville, AL posted: Posted 30+ Days Ago

### HIH - Machine Learning Advisor - The Cigna Group
- Location: Hyderabad, India (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-14
- 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://cigna.wd5.myworkdayjobs.com/cignacareers/job/Hyderabad-India/HIH---Machine-Learning-Advisor_26001879
- Excerpt: HIH - Machine Learning Advisor Hyderabad, India posted: Posted 29 Days Ago

### AI Data Trainer (Arabic), Alexa Shopping Operations - Amazon
- Location: Gurugram, Haryana, IND (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-09
- 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/10443291/ai-data-trainer-arabic-alexa-shopping-operations
- Excerpt: AI Data Trainer (Arabic), Alexa Shopping Operations Gurugram, Haryana, IND Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging cutting-edge technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Key job responsibilities As part of your role, you will have the opportunity to, • Contribute to various projects involved in generating training datasets for AI models • Create content that generates text-based user input to power artificial intelligence • Validate data based on specific annotation guidelines, ensuring the accuracy and quality of the collected information • Perform data collection and curation, ultimately resulting in the generation of high-quality data that can be utilized for AI models • You will work closely with your team members and managers to drive process efficiencies and explore opportunities for automation • You will strive to enhance the productivity and effectiveness of the data generation and annotation processes About

### Software Engineer (Multiple Levels) - Machine Learning Infrastructure, Slack - Slack
- Location: 4 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 26 weeks (not source-backed)
- Non-birth-parent leave: 12 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://salesforce.wd12.myworkdayjobs.com/Slack/job/Washington---Seattle/Senior-Staff-Software-Engineer--Machine-Learning-Infrastructure--Slack_JR329145-2
- Excerpt: Software Engineer (Multiple Levels) - Machine Learning Infrastructure, Slack 4 Locations posted: Posted 30+ Days Ago

### Machine Learning Engineer - Document Intelligence - Workday, Inc.
- Location: 2 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-07
- Parental leave: 12 weeks (not source-backed)
- Non-birth-parent leave: 12 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://workday.wd5.myworkdayjobs.com/Workday/job/USA-CA-Pleasanton/Machine-Learning-Engineer---Document-Intelligence_JR-0107515
- Excerpt: Machine Learning Engineer - Document Intelligence 2 Locations posted: Posted 5 Days Ago

### Staff ML Engineer, Fine Tuning - Slack - Slack
- Location: 3 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-29
- Parental leave: 26 weeks (not source-backed)
- Non-birth-parent leave: 12 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://salesforce.wd12.myworkdayjobs.com/Slack/job/Washington---Seattle/Staff-ML-Engineer--LLM-Fine-Tuning---Slack_JR344115
- Excerpt: Staff ML Engineer, Fine Tuning - Slack 3 Locations posted: Posted 14 Days Ago

### Senior Engineer, Machine Learning - Analog Devices
- Location: US, MA, Wilmington (unspecified)
- Salary: Not disclosed
- 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)
- Apply: https://analogdevices.wd1.myworkdayjobs.com/External/job/US-MA-Wilmington/Senior-Engineer--Machine-Learning_R262583-1
- Excerpt: Senior Engineer, Machine Learning US, MA, Wilmington posted: Posted 23 Days Ago

### 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

### 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 II, Special Projects - Amazon
- Location: Seattle, Washington, USA (unspecified)
- Salary: $144K-$194K
- Posted: 2026-02-11
- 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/3178943/machine-learning-engineer-ii-special-projects
- Excerpt: Machine Learning Engineer II, Special Projects Seattle, Washington, USA Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company's Think Big leadership principle to the next level. We focus on creating entirely new products and services with a goal of positively impacting the lives of our customers. No industries or subject areas are out of bounds. If you're interested in innovating at scale to address big challenges in the world, this is the team for you. Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have thirteen employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We are constantly learning through programs that are local, regional, and global. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Our team highly values work-life balance, mentorship and career growth. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We care about your career growth and strive to assign projects and offer training that will challenge you to become your best. Key job responsibilities * Ability to quickly learn state of the art technologies and algorithms in the field of Generative AI to participate in our journey to build the best LLMs. * Responsible for the development and maintenance of key platforms

### Senior Staff Machine Learning Engineer, (Machine Learning) - Affirm
- Location: Remote Canada (remote)
- Salary: CAD 209K-269K
- 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://job-boards.greenhouse.io/affirm/jobs/7550524003
- Excerpt: Senior Staff Machine Learning Engineer, (Machine Learning) Remote Canada

### ML Compiler Engineer, Annapurna Labs - Amazon
- Location: Cupertino, California, USA (unspecified)
- Salary: $165K-$224K
- Posted: 2026-05-21
- 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/10427132/ml-compiler-engineer-annapurna-labs
- Excerpt: ML Compiler Engineer, Annapurna Labs Cupertino, California, 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. In this role as a ML Compiler engineer, you'll be instrumental in designing, developing, and optimizing features for our compiler. 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. Additionally, you'll collaborate closely with cross-functional team members from the Runtime, Frameworks, and Hardware teams to ensure system-wide performance optimization. As part of the Backend team, you'll play a significant role in designing and developing various aspects of our system. This includes but is not limited to instruction scheduling, memory allocation, data transfer optimization, graph partitioning, parallel programing, code generation, Instruction Set Architectures, new hardware bring-up, and hardware-software co-design. Annapurna Labs (our organization within AWS UC) 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

### 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 Machine Learning Engineer (Fraud) - Affirm
- Location: Remote Canada (remote)
- Salary: CAD 153K-213K
- 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://job-boards.greenhouse.io/affirm/jobs/7696276003
- Excerpt: Senior Machine Learning Engineer (Fraud) Remote Canada

### Fullstack Software Engineer, GenAI, DeepMind - DeepMind
- Location: Mountain View, CA, USA (unspecified)
- Salary: $174K-$253K
- 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=CiUAL2FckdvshdJIR4pp4rKfETRGSmys7sT7tkoq48UTVgZCVtpWEjsACxwdTEsGqs5L3w7SqrA5virlrCl1_fH6_sqjeYw16w_tKzH4KJfuR4fejbEwPYXRCJlbQI-k7z-3OQ%3D%3D_V2&loc=US&title=Fullstack+Software+Engineer
- Excerpt: Fullstack Software Engineer, GenAI, 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. 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: $174000 - $253000 (USD) + 15% bonus target +

### Sr. Principal Machine Learning Engineer - Comcast Corporation
- Location: CA - Virtual - E (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-08
- Parental leave: 4 weeks (not source-backed)
- Non-birth-parent leave: 4 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://comcast.wd5.myworkdayjobs.com/Comcast_Careers/job/CA---Virtual---E/Sr-Principal-Machine-Learning-Engineer_R438718
- Excerpt: Sr. Principal Machine Learning Engineer CA - Virtual - E posted: Posted 4 Days Ago

### Senior Software Engineer, Speech MLOps - Amazon
- Location: Cracow, Lesser Poland Voivodeship, POL (unspecified)
- Salary: Not disclosed
- Posted: 2026-03-04
- 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/3195588/senior-software-engineer-speech-mlops
- Excerpt: Senior Software Engineer, Speech MLOps Cracow, Lesser Poland Voivodeship, POL Want to work on the technology powering GenAI experiences via Alexa and AWS Polly? Join our Machine Learning Operations team for AGI at Amazon! We build and maintain the infrastructure and tooling that enable our Scientists to work on state-of-the-art models. We own the entire machine learning lifecycle, including: data preparation, model training, inference, evaluation, release and deployment. Specifically, we are seeking a passionate Machine Learning Engineer who is: 1) capable of designing and building scalable, reliable ML infrastructure on AWS, solving novel engineering challenges when no textbook solutions exist; 2) eager to collaborate with Scientists to understand their workflows and bring research innovations into production-ready systems. If you thrive in ambiguous environments at the intersection of software engineering and machine learning, this position is for you! Join us and be part of the team shaping the future of speech synthesis, enabling new and exciting GenAI experiences for millions of users worldwide. Basic Qualifications: - BS in Computer Science or equivalent experience. - Proficiency in at least one modern programming language (Java, C/C++, C#). - Experience with Linux/Unix systems and fluent shell interaction. - Solid knowledge of CS fundamentals (algorithms, data structures). - Professional communication skills and ability to contribute to team discussions English language working proficiency. - Experience working along a science team to accelerate development. Preferred Qualifications: - MLOps experience. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our

### 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

### Talent Management Partner, DeepMind (Fixed-Term Contract) - DeepMind
- Location: London, UK; +1 more (unspecified)
- Salary: $141K-$206K
- 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=CiUAL2FckcC2ajMny5ZE2XvUMbT85kP88GKzV74fpsiMOPV8XeP1EjsACxwdTCXFNPq7FavJoYZ79GKP1eQiV4k9dZXq4ivmJOoxOtNJt5w0DKRLeXi85tpxFlIHxeAvNqh6Ow%3D%3D_V2&loc=GB&title=Talent+Management+Partner
- Excerpt: Talent Management Partner, DeepMind (Fixed-Term Contract) London, UK; +1 more 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 global issues 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 various 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: $141000 - $206000 (USD) + 15% bonus target Learn more about benefits at Google . Craft and implement talent management strategies aligned with business objectives to boost talent engagement, career and performance. Collaborate closely across People and Culture (P&C), with Google counterparts, and executive leaders to assess talent needs and develop innovative, scalable talent solutions that deliver value without adding complexity. Leverage data and analytics to assess the impact of talent initiatives and make data-driven recommendations, in line with business priorities. Drive change management efforts related to talent initiatives, ensuring smooth adoption and integration into the organization. Function as a trusted thought partner, sharing industry insights to guide focus and decisions across talent and performance portfolio. Minimum qualifications: Bachelor's degree or equivalent practical experience. 6 years of experience in talent management, organizational development or HR. Preferred

### Senior Data Scientist, GeminiApp, DeepMind - DeepMind
- Location: Mountain View, CA, USA; +2 more (unspecified)
- Salary: $232K-$253K
- 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=CiUAL2FckeSwlJrm1k10DI04kCiVZlidBtuyWnSUoIO-KTKoX_bsEjsACxwdTK6tlGamsT1XnF3F-sR-_abCwaRm_50KJWq7WNoGjQbTKOte5Gcx05vEFjwMSDr5zO8Kpz1tMg%3D%3D_V2&loc=US&title=Senior+Data+Scientist
- Excerpt: Senior Data Scientist, GeminiApp, DeepMind Mountain View, CA, USA; +2 more 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: $232000 - $253000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Partner with product, engineering, and User Experience (UX) to develop data-driven product strategies. Translate ambiguous questions into well-defined problems, design experiments, and analyze large datasets for insights. Communicate findings and recommendations to stakeholders, including executives. Build and deploy statistical/ML models to understand our users, enhance product capabilities and personalize user experience. Advocate data-driven culture by feeding user engagement insights back into models. Collaborate with the GenAI team on model quality and feature adoption. Minimum qualifications: Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience. 4 years of experience in data analysis or data science, including identifying trends, generating summary statistics, and drawing insights from quantitative

### 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 Manager, ML Accelerators, AWS Neuron, Annapurna Labs - Amazon
- Location: Seattle, Washington, USA (unspecified)
- Salary: $185K-$250K
- Posted: 2025-12-10
- 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/3140960/software-development-manager-ml-accelerators-aws-neuron-annapurna-labs
- Excerpt: Software Development Manager, ML Accelerators, AWS Neuron, Annapurna Labs Seattle, Washington, USA AWS Machine Learning accelerators are at the forefront of AWS innovation. The Trainium chip delivers industry-leading ML inference and training performance at the lowest cost in the cloud. This is enabled by edge software stack, the AWS Neuron Software Development Kit, which includes a Machine Learning compiler. The SDK natively integrates into popular ML frameworks, such as PyTorch, JAX and TensorFlow. AWS Neuron is widely adopted by many internal and external customers and partners. Amazon Annapurna Labs drives innovation in silicon and software for AWS, blending cloud-scale impact with world-class engineering talent. Our multidisciplinary team spans silicon design, hardware verification, software, and operations. We operate in large, complex domains with small, agile teams, fostering continuous learning and rapid innovation. With no set blueprint, we thrive on experimentation and offer a uniquely dynamic and enriching environment across a wide range of AWS products and services. Learn more about our history: https://www.amazon.science/how-silicon-innovation-became-the-secret-sauce-behind-awss-success We are seeking an exceptional Software Engineering Manager to lead portion of our Deep-Learning Backend Compiler team at AWS Neuron. You will manage a team of talented compiler engineers focused on machine learning compiler design and development. In this role, you will drive the design and implementation of ML compiler solutions, develop advanced optimization techniques, lead hardware bring-up for next-generation chips, and influence pre-silicon design decisions while mentoring your team. This position offers the opportunity to directly impact AWS's machine learning infrastructure and accelerate the delivery of innovative

### Post-Training Technical Program Manager, GenAI, DeepMind - DeepMind
- Location: Mountain View, CA, USA (unspecified)
- Salary: $217K-$237K
- 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=CiUAL2FckTnikZ8Ht9DTIiTcz5FzGonxBn3Fz6b_oJ3oCJHAZs7dEjsACxwdTOuvHrWMVXRaFZ_5TsVainvD2Ob7dOGKXhhMQ-G4E5NX4bS8RQeAiJNOOatxWt8hpppMp4pFrA%3D%3D_V2&loc=US&title=Post-Training+Technical+Program+Manager
- Excerpt: Post-Training Technical Program Manager, GenAI, DeepMind Mountain View, CA, USA A problem isn't truly solved until it's solved for all. That's why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you'll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You'll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. 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: $217000 - $237000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Lead complex, cross-functional programs, balancing immediate deliverables with long-term strategic goals. Own project status updates by proactively mitigating

### 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

### Principal Machine Learning Engineer - SAP
- Location: Country USA | Internal Posting Location Palo Alto (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/Palo-Alto-Principal-Machine-Learning-Engineer-CA-94304/1367478333/
- Excerpt: Principal Machine Learning Engineer Country USA | Internal Posting Location Palo Alto 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 do: Summary: At SAP, we amplify the strength of AI technology, fusing it with our robust industry-focused data and profound process knowledge. Our vision is to infuse every SAP application with sophisticated AI capabilities, revolutionizing the way businesses operate. Large Language Models (LLMs) hold immense potential to change the way we work and develop products. They are reshaping the landscape of Machine Learning across various domains. Our goal is to combine the power of LLMs with Knowledge Graphs for business AI problems in SAP applications. We are building a nimble and versatile engineering team to empower our Data Scientists within the AI Foundations and Research team. This team will be responsible for developing cutting-edge tools, providing development resources for proof-of-concept projects, and collaborating on groundbreaking Gen AI initiatives. Our ultimate objective is to expedite the development and implementation of innovative Gen AI features throughout

### Lead AI and Computer Vision specialist (f/m/d) - Baker Hughes
- Location: IT-FI-FLORENCE-VIA FELICE MATTEUCCI 2 (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-11
- Parental leave: 12 weeks (not source-backed)
- Non-birth-parent leave: 8 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://bakerhughes.wd5.myworkdayjobs.com/BakerHughes/job/IT-FI-FLORENCE-VIA-FELICE-MATTEUCCI-2/Lead-AI-and-Computer-Vision-specialist_R163568-1
- Excerpt: Lead AI and Computer Vision specialist (f/m/d) IT-FI-FLORENCE-VIA FELICE MATTEUCCI 2 posted: Posted Yesterday

### Principal Engineer (Machine Learning) - CyberArk
- Location: Office - USA - CA - Headquarters (unspecified)
- Salary: Not disclosed
- 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)
- Apply: https://paloaltonetworks.wd5.myworkdayjobs.com/panwexternalcareers/job/Office---USA---CA---Headquarters/Principal-Software-Engineer--Machine-Learning-_JR-015882
- Excerpt: Principal Engineer (Machine Learning) Office - USA - CA - Headquarters posted: Posted 11 Days Ago

### Senior Machine Learning Engineer, Firefly Foundry - Adobe Inc.
- Location: 3 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-03
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Jose/Senior-Machine-Learning-Engineer--Firefly-Foundry_R169106
- Excerpt: Senior Machine Learning Engineer, Firefly Foundry 3 Locations posted: Posted 9 Days Ago

### Data Associate (Arabic), Alexa Shopping Operations - Amazon
- Location: Gurugram, Haryana, IND (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-09
- 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/10443292/data-associate-arabic-alexa-shopping-operations
- Excerpt: Data Associate (Arabic), Alexa Shopping Operations Gurugram, Haryana, IND Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging cutting-edge technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Key job responsibilities As part of your role, you will have the opportunity to, • Contribute to various projects involved in generating training datasets for AI models • Create content that generates text-based user input to power artificial intelligence • Validate data based on specific annotation guidelines, ensuring the accuracy and quality of the collected information • Perform data collection and curation, ultimately resulting in the generation of high-quality data that can be utilized for AI models • You will work closely with your team members and managers to drive process efficiencies and explore opportunities for automation • You will strive to enhance the productivity and effectiveness of the data generation and annotation processes About the

### Research Engineer, Security and Privacy, DeepMind - DeepMind
- Location: New York, NY, USA; +1 more (unspecified)
- Salary: $174K-$253K
- 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=CiUAL2FckS-x1JQ7h9ASmaaVp04NStsk3CBn7lBNtRw3VA_VFY-iEjsACxwdTA9zBcJBOpHKD9EramcDXV7YYhXSgUxSrml0JiYv9rHCFDHwS7yUX111-xKyH9wROOfcSirqoQ%3D%3D_V2&loc=US&title=Research+Engineer
- Excerpt: Research Engineer, Security and Privacy, DeepMind New York, NY, USA; +1 more 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. The frontier of agentic capabilities is defined by empirical limits; we push models there systematically. As a core engine of the Gemini development cycle, we leverage automated red-teaming to expose sophisticated adversarial vulnerabilities and elucidate distinct failure modes. Our evaluations power the primary leaderboards that model training climbs against. By rigorously measuring failing modes, we directly shape defensive mitigations and steer the broader optimization space. 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

### 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

### Senior Associate - RWE Obesity Statistical Programming - 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/Senior-Associate---RWE-Obesity-Statistical-Programming_R-237846
- Excerpt: Senior Associate - RWE Obesity Statistical Programming India - Hyderabad posted: Posted 30+ Days Ago

### Machine Learning Hardware Architect, Google Cloud Silicon - Google
- Location: Tel Aviv, Israel; +1 more (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=CiUAL2FckSb5Ztykt9GDsvh6yLbwO-evuOGmXD_5EQqAaQPmH2tWEjsACxwdTMl4OZe1mY6_aHFFTY-l0no3ftkwoAKkPJ4hydQVfwpgzbzzWGcZKYmHXc2zpuD1TP7jbFTpkw%3D%3D_V2&loc=IL&title=Machine+Learning+Hardware+Architect
- Excerpt: Machine Learning Hardware Architect, Google Cloud Silicon Tel Aviv, Israel; +1 more In this role, you'll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You'll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems. In this role, you will own and lead the architecture of the Google Edge AI accelerators. You will work with the Google AI community and with external partners. You will combine the latest innovations in Machine Learning and integrated circuits to create advanced hardware acceleration solutions for Machine Learning training and inference. The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on

### People and Culture Tech and Operations Partner, DeepMind (Fixed-Term Contract) - DeepMind
- Location: London, UK (unspecified)
- Salary: Not disclosed
- 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=CiUAL2FckRzjM1DjaJdci3ZFiqQ54PZnwBpUz7wk2mPaAeA03bYAEjoACxwdTDzPZAKeG7M6lYK4_JRAK07nuQwkOoPV1OHSVAZFPxfx1TMq1iJs5VTb0aRS11H_TmFuiTXg_V2&loc=GB&title=People+and+Culture+Tech+and+Operations+Partner
- Excerpt: People and Culture Tech and Operations Partner, DeepMind (Fixed-Term Contract) London, UK 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. 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. Lead management of complex, matrixed organizational frameworks to ensure seamless alignment with evolving business requirements. Identify and seize opportunities to transform manual processes into automated workflows that enhance GDM's effectiveness Advocate workforce data integrity, ensuring our records remain a single source of truth. Translate visionary business needs into precise, actionable specifications for Engineering to build long-term automated infrastructure. Identify system patterns that signal potential risks and implement solutions to address the underlying root causes. Minimum qualifications: Bachelor's Degree in Human Resources or equivalent practical experience. 6 years of experience in HR Generalist, HR Specialist or HR Consulting. Preferred qualifications: Experience in People Analytics and HR Engineering. Experience in Change Management for large-scale programs.

### Software Development Engineer, CreativeX - Amazon
- Location: New York, New York, USA (unspecified)
- Salary: $158K-$214K
- 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/10418941/software-development-engineer-creativex
- Excerpt: Software Development Engineer, CreativeX New York, New York, USA The CreativeX RAPID (Real-time Ad Personalization & Insights Development) team is seeking passionate and talented Machine Learning Engineer (MLE) to join us. CreativeX is on a mission to enable brands of all sizes and categories to create, serve, measure, and optimize creative content with ease. Our team is responsible for tailoring the visual experience of ads to each context in real-time, leveraging nouvelle technologies such as latent diffusion models, large language models (LLM), reinforced learning (RL), computer vision, and related methods. Our mission is to provide engaging, dynamically optimized creatives with low latencies both on and off Amazon for self-service brand advertisers. We automate the customization of product creatives with real-time catalog data while providing advertisers with the flexibility to customize their creatives according to their preferences. Key job responsibilities - Quickly acquire knowledge of nouvelle technologies in Generative AI to solve complex problems in the Dynamic Creative Optimization (DCO) domain. - Investigate design approaches, prototype new technologies, and evaluate their technical feasibility, such as Auto ML, real-time ML serving systems. - Collaborate with scientists to design and build data pipelines for processing massive datasets and scaling machine learning models. - Develop and maintain platforms for developing, evaluating, and deploying machine learning models for real-world applications. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at

### Machine Learning Engineer, Firefly Services - Adobe Inc.
- Location: 2 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Seattle/Machine-Learning-Engineer--Firefly-Services_R168300
- Excerpt: Machine Learning Engineer, Firefly Services 2 Locations posted: Posted 30+ Days Ago

### Machine Learning Software Engineer - Google
- 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=CiUAL2FckWcjWsSiyL6nASQbQh8kOS4kT3DmYL44U46RnfOnJNrIEjsACxwdTEgWQWc1oVaBtVO_AwjTRAX8iopwGiwvWm8bwTxakRfulLmQSCRQkT543uZyaM4n-an-i9eZGg%3D%3D_V2&loc=US&title=Machine+Learning+Software+Engineer
- Excerpt: Machine Learning Software Engineer Mountain View, CA, USA Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. As an ML Engineer on the Travel Ads team, you will be at the forefront of integrating highly relevant travel ads into AI Overviews/AI Mode and web search experiences. You will bridge the gap between generative AI and core ads infrastructure. You will build and optimize the deep learning models powering ads ranking and retrieval alongside integrating LLMs. You will leverage user intent and contextual signals to deliver ads that feel like a natural, helpful extension of the user's travel planning journey. This is a unique opportunity to apply your expertise in recommendation/search system and deep learning technology (Adbrain, TensorFlow, JAX) to scale features,

### 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 MLA DV Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs - Amazon
- Location: Austin, Texas, USA (unspecified)
- Salary: $159K-$215K
- Posted: 2026-04-13
- 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/10389921/sr-mla-dv-engineer-cloud-scale-machine-learning-acceleration-annapurna-labs
- Excerpt: Sr MLA DV Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs Austin, Texas, USA Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SOCs that are used to power today's AI workloads in datacenters all around the world. As a member of the Cloud-Scale Machine Learning Acceleration, you'll collaborate with multiple teams to drive improvements in silicon yield & performance - it's still Day One here at Amazon! Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. We have data center locations in the U.S., Europe, Singapore, and Japan, and customers across all industries. We are seeking experienced Design Verification Engineers to build the next generation of our cloud server chips. Our success depends on our world-class server infrastructure; we're handling massive scale and rapid integration of emergent technologies. As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of custom silicon in our data centers. Key job responsibilities - Verify custom chip designs at the SOC level - Integrate 3rd party IPs and VIPs into the SOC testbench - Create comprehensive testplans, write robust random testcases, and execute coverage plans - Maintain autosmoke and regression infrastructure - Dive deep into bugs and triages - Mentor junior engineers About the team Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have

### Gemini Audio Research Scientist, DeepMind - DeepMind
- Location: New York, NY, USA; +1 more (unspecified)
- Salary: $174K-$253K
- 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=CiUAL2FckSuO9eE4rvKxzoqwMTCxSNahseZQw7ub9MGMP8fVzfl-EjsACxwdTI6aUCwSaHW-pMnFCXvsFIg35GrhdF5eLjSksAEBiv3OGuvDJFHPj08i5VutjVcOTDGHAXk8Hw%3D%3D_V2&loc=US&title=Gemini+Audio+Research+Scientist
- Excerpt: Gemini Audio Research Scientist, DeepMind New York, NY, USA; +1 more As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. 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

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Source-backed benefit claims include source links; other benefit values are labeled separately.