# FewerJobs export - 100 curated jobs Generated: 2026-09-26T22:39:29.294Z Source: https://fewerjobs.com ## Filters applied - **q**: AlphaSense - **quality_floor**: default - **match_401k_strict**: true - **parental_strict**: true - **non_birth_strict**: true - **pto_strict**: true - **include_older**: false - **apply_url_verified**: false - **page**: 3 - **per_page**: 100 - **sort**: relevance ## Jobs ### Software Engineer - Core Infrastructure - Genesis Molecular AI - Location: San Mateo, CA (unspecified) - Salary: Not disclosed - Posted: 2026-01-27 - Apply: https://jobs.ashbyhq.com/genesis-molecular-ai/12bcefe6-6be7-43b0-8581-b12cc65aae52 - Excerpt: Software Engineer - Core Infrastructure San Mateo, CA Genesis Therapeutics is building a world-class computational team to solve problems in drug discovery through machine learning, biophysical simulation, and computational chemistry. We are looking for an Infrastructure Engineer that is excited to help develop new medicines and play a critical role in building out our AI platform. You Will - Work on our infrastructure team to maintain and grow our multi-cloud compute infrastructure that supports our ML model training, computational chemistry research, and ongoing drug discovery efforts - Build out our configuration and procedures for monitoring, resource allocation, and deployment automation, as we continue to grow our autoscaling compute clusters to handle larger workloads - Work on orchestration scheduling framework to increase our execution throughput, reliability, and compute utilization across heterogeneous pipelines You Are - 5+ years of experience building and maintaining cloud infrastructure at scale, e.g. within AWS or GCP - Proficient with Python, Bash, Terraform, Ray and Kubernetes - Ideally, experience building and maintaining compute clusters running distributed ML training jobs with 1,000+ GPUs - Nice to have: hands-on experience with physical hardware + datacenter management What We Offer - The opportunity to work on high impact infrastructure that is used to accelerate the discovery of new medicines - A world-class, tight-knit team of good-hearted people across software, machine learning, computational chemistry, medicinal chemistry, and biology - Competitive salary and equity. Medical, dental, and vision insurance, and a 401(k) program About Genesis Molecular AI Genesis Molecular AI is pioneering ### Software Engineer, Full Stack (Process Execution) - Benchling - Location: San Francisco, CA | Hybrid | Remote (hybrid) - Salary: Not disclosed - Posted: 2026-06-07 - 401(k) match: listed (not source-backed) - Apply: https://jobs.ashbyhq.com/benchling/4cc84632-9ac2-473c-81ac-8a35cb77c62b - Excerpt: Software Engineer, Full Stack (Process Execution) San Francisco, CA | Hybrid | Remote We are rebuilding biotech for the AI era. When a breakthrough is delayed, the world waits. Getting a molecule from discovery to patients, or a crop from lab to field, involves thousands of slow, manual, disconnected steps. AI has the potential to change this, compressing decades of R&D work into years. But that only happens when clean, structured scientific data and AI are built into how science gets done. Benchling is the AI platform for biotech R&D. Scientists use Benchling to design experiments, capture structured data, and run AI agents and models directly in their workflows. Over 200,000 scientists around the world trust Benchling to power their most important work, from academic labs to Sanofi, Moderna, and more than half of the world's top 50 biopharma. We're building an AI scientist for our customers. We can't do that if we haven't built the muscle ourselves. AI fluency is the foundation we build on; it's core to how we work, and we're committed to helping every new hire integrate it into their day-to-day. As part of our interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today. ROLE OVERVIEW The Process Development team builds the workflow platform that enables biotech and pharmaceutical companies to design, execute, and track complex ### Join the Alpha-9 Talent Network - Alpha-9 Oncology - Location: All Locations (unspecified) - Salary: Not disclosed - Posted: 2025-02-11 - Apply: https://job-boards.greenhouse.io/alpha9oncology/jobs/4464664008 - Excerpt: Join the Alpha-9 Talent Network All Locations Join the Alpha-9 Talent Network At Alpha-9 Oncology, our mission is to advance next-generation radiopharmaceuticals that meaningfully improve outcomes for patients with cancer. We're building a team of thoughtful, driven individuals who are motivated by impact and grounded in scientific excellence, collaboration, and urgency. If you don't see a current role that aligns with your background, we'd still love to connect. By joining our Talent Network, you'll be considered for future opportunities as we continue to grow across Vancouver, Boston, and San Francisco. We regularly review submissions and will reach out if there's a strong match. Company Summary Alpha-9 Oncology is a clinical-stage biotechnology company pioneering radiopharmaceutical innovation for solid tumors. Our proprietary scaffolds, composed of optimized binders, linkers, chelators, and radioisotopes, enable targeted radiation delivery to cancer cells, minimizing harm to surrounding healthy tissue. Focusing on innovative targeting moieties, we develop molecules tailored for precise tumor targeting. Our comprehensive platform integrates imaging and therapeutic studies to ensure effective radiation delivery and improved patient outcomes. With a robust pipeline entering clinical trials and strong support from leading healthcare investors, Alpha-9 is positioned for rapid growth and advancement in cancer therapy. More about Alpha-9 Oncology Alpha-9 Oncology is committed to fostering a diverse and inclusive workplace and is proud to be an Equal Opportunity Employer. We provide employment opportunities to all qualified applicants without regard to race, ethnicity, religion, age, sex, gender identity or expression, sexual orientation, disability, marital status, family status, national origin, ### 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 ### Senior Machine Learning Engineer - Speech to Text - Nabla Bio - Location: Paris office (unspecified) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/nabla/fd644d10-2eaa-492e-98e4-2fbacd9943aa - Excerpt: Senior Machine Learning Engineer - Speech to Text Paris office ABOUT NABLA We are a team of entrepreneurs, clinicians and engineers committed to bringing back joy to the practice of medicine. Together with a community of clinician innovators, we've harnessed the best of machine learning science to develop Nabla: the leading AI assistant that's restoring the human connection at the heart of healthcare. By streamlining clinical documentation, Nabla is helping clinicians focus on what matters most - patient care. Today, over 100,000+ clinicians across 130+ healthcare organizations trust Nabla to support how they deliver care every day. We're at the start of an ambitious journey: Ambient listening, dictation, coding, and command capabilities are all converging into a proactive assistant that intuitively streamlines clinical and financial workflows. Backed by a recent $70M Series C, we're hiring to build the next generation of clinical AI and improve the lives of clinicians and patients everywhere. This is a great time to join us! THE BEST OF AI AT THE SERVICE OF HEALTHCARE Nabla's phenomenal traction is the result of years of rigorous product and ML development. Led by former Meta AI Research engineers, our team continuously pushes the frontier of speech and language AI in real-world clinical environments. We operate at scale, processing billions of tokens and thousands of hours of audio every week. Yann LeCun, Meta's Chief AI Scientist and Turing award winner, is an advisor to Nabla. ENGINEERING AT NABLA Engineering at Nabla is lean, fast-moving, and deeply technical. Our teams ### Fullstack Software Engineer (Senior / Staff) - Genesis Molecular AI - Location: San Mateo, CA, New York, NY (unspecified) - Salary: Not disclosed - Posted: 2026-03-03 - Apply: https://jobs.ashbyhq.com/genesis-molecular-ai/724a570b-6a8f-40bb-876c-353c754e367f - Excerpt: Fullstack Software Engineer (Senior / Staff) San Mateo, CA, New York, NY Fullstack Software Engineer (Senior / Staff) Genesis Molecular AI is building a world-class software team to solve problems in drug discovery through machine learning, biophysical simulation, and computational chemistry. We are looking for engineers excited to help develop new medicines and play a critical role in building out our software platform. You will - Own and evolve the full-stack platform that computational chemists use daily, from data exploration and experiment management to real-time visualization, shipping AI-native workflows and modern interaction patterns that shorten the loop between hypothesis and insight - Build and expand tools for visualizing molecules and proteins, analyzing ML models, and managing complex chemical workflows - Partner with machine learning engineers and computational chemists to develop and productionize new computational methods for molecular property prediction - Scale our data infrastructure to handle billions of datapoints and thousands of parallel deep learning and molecular dynamics jobs You are - A deep thinker who reasons from first principles, balances attention to detail with architectural thinking, and has an investigative curiosity to find the root cause of a problem - Comfortable owning problems across the entire stack - frontend interfaces, backend services, data pipelines, and infrastructure - Experienced shipping production code and driving projects end-to-end with minimal hand-holding - Excited to work at the intersection of software engineering, drug discovery, and machine learning What we offer - The opportunity to work on high impact tools and products that are ### On-Device ML Infrastructure Engineer (CoreML Runtime), Graphics, Games and Machine Learning - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $181K-$318K - Posted: 2026-04-17 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200658596/on-device-ml-infrastructure-engineer-coreml-runtime-graphics-games-and-machine-learning?team=MLAI - Excerpt: On-Device ML Infrastructure Engineer (CoreML Runtime), Graphics, Games and Machine Learning Cupertino, United States of America Imagine being at the forefront of an evolution where powerful AI meets the elegance of Apple silicon. The On-Device Machine Learning team transforms groundbreaking research into practical applications, enabling billions of Apple devices to run powerful AI models locally, privately, and efficiently. We stand at the unique intersection of research, software engineering, hardware engineering, and product development, making Apple a top destination for on-device machine learning innovation. Our team builds the essential infrastructure that enables machine learning at scale on Apple devices. This involves onboarding innovative architectures to embedded systems, developing optimization toolkits for model compression and acceleration, building ML compilers and runtimes for efficient execution, and creating comprehensive benchmarking and debugging toolchains. This infrastructure forms the backbone of Apple's machine learning workflows across Camera, Siri, Health, Vision, and other core experiences, contributing to the overall Apple Intelligence ecosystem. If you are passionate about the technical challenges of running sophisticated ML models on resource-constrained devices and eager to directly impact how machine learning operates across the Apple ecosystem, this role presents an incredible opportunity to work on the next generation of intelligent experiences on Apple platforms. We are seeking an ML Infrastructure Engineer with a specific focus on graph compilers and runtimes. If you are a highly motivated software engineer who is creative, versatile, and passionate about machine learning operator primitives, common compiler optimizations, runtimes, and system software engineering in the fast-paced and dynamic ### Senior Machine Learning Engineer, AI, SIML - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $181K-$318K - Posted: 2026-06-04 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200651112/senior-machine-learning-engineer-ai-siml?team=MLAI - Excerpt: Senior Machine Learning Engineer, AI, SIML Cupertino, United States of America Are you passionate about Generative AI and excited to work on groundbreaking modeling technologies that will enrich the lives of billions? The Intelligence System Experience (ISE) team within Apple's software organization is a multidisciplinary group operating at the intersection of Multimodal Foundation Models, Efficient and Scalable ML Infrastructure, and Personalized Intelligent Experiences. As a senior machine learning engineer on our team, you will design software systems and algorithms that enable performant, scalable training and inference for Apple's AI-driven experiences across both on-device and server environments. This role also includes opportunities to open source your work. Join our team of highly skilled, impact-focused engineers! We're seeking strong senior machine learning engineers to help build next-generation tools for large-scale deep learning. You'll join a team focused on accelerating training and inference speed, improving scalability, and advancing Apple's centralized ML platform. Candidates should bring polished coding skills and a passion for machine learning and computational science. We offer a respectful work environment, flexible responsibilities, and access to world-class experts and growth opportunities. In this role, you will develop core components for our scalable ML platform, push the limits of existing training technologies, and create new techniques to overcome system constraints. Your work will be deployed on high-impact tasks across teams building Apple Intelligence products, with opportunities to open-source your contributions. We are especially looking for PyTorch-focused ML experts driving system-level efficiency from on-device to large-scale models. If you have deep experience with ### On-device ML Infrastructure Engineer, Compiler & Runtime, Graphics, Games & ML - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $181K-$318K - Posted: 2026-03-27 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200630418/on-device-ml-infrastructure-engineer-compiler-runtime-graphics-games-ml?team=MLAI - Excerpt: On-device ML Infrastructure Engineer, Compiler & Runtime, Graphics, Games & ML Cupertino, United States of America Imagine being at the forefront of an evolution where modern AI meets the elegance of Apple silicon. The On-Device Machine Learning team transforms groundbreaking research into practical applications, enabling billions of Apple devices to run powerful AI models locally, privately, and efficiently. We stand at the unique intersection of research, software engineering, hardware engineering, and product development, making Apple the leading destination for machine learning innovation. Our team builds the essential infrastructure that enables machine learning at scale on Apple devices. This involves onboarding powerful architectures to embedded systems, developing optimization toolkits for model compression and acceleration, building ML compilers and runtimes for efficient execution, and creating comprehensive benchmarking and debugging toolchains. This infrastructure forms the backbone of Apple's machine learning workflows across Camera, Siri, Health, Vision, and other core experiences, contributing to the overall Apple Intelligence ecosystem. We're building an end-to-end developer experience for machine learning development that brings to bear Apple's vertical integration. This allows developers to iterate on model authoring, optimization, transformation, execution, debugging, profiling, and analysis. If you are passionate about the technical challenges of running sophisticated ML models across all devices, from resource-constrained devices to powerful cluster, and eager to directly impact how machine learning operates across the Apple ecosystem, this role presents a great opportunity to work on the next generation of intelligent experiences on Apple platforms. We are seeking an experienced ML Infrastructure Engineer with a specific ### ML Research Engineer, Foundation Models (Senior / Staff / Principal) - Genesis Molecular AI - Location: San Mateo, CA, New York, NY (unspecified) - Salary: Not disclosed - Posted: 2025-07-30 - Apply: https://jobs.ashbyhq.com/genesis-molecular-ai/fbca4380-dc17-4b90-acf3-cf4b105cbc0d - Excerpt: ML Research Engineer, Foundation Models (Senior / Staff / Principal) San Mateo, CA, New York, NY ML Research Engineer, Foundation Models About the Team Join a world-class team at the forefront of AI and biochemistry. At Genesis Molecular AI , we're a tight-knit team of proven deep learning researchers, software engineers, and drug discovery pioneers. Our shared mission is nothing short of revolutionary: to forge the next generation of AI foundation models that unlock new therapies for patients with severe diseases . We conduct fundamental research at the intersection of machine learning, physics, and computational chemistry , pushing the boundaries of each field. The Genesis AI team is building the engine for this revolution. We develop large-scale generative models trained across the full spectrum of molecular data, supported by extensive compute infrastructure and simulation pipelines. The work sits at the intersection of machine learning research, structural biology, and computational chemistry , requiring deep technical rigor and strong interdisciplinary collaboration. About the Role This role is for a highly skilled ML Research Engineer who thrives at the intersection of fundamental research and production-grade engineering . As a core member of the Genesis AI team, you will serve as the engineering pillar for inventing, scaling, and shipping our next generation of foundation models for molecular science . You will partner closely with ML researchers, computational chemists, and drug discovery scientists to translate cutting-edge model ideas into systems that power real drug discovery programs . Your work may involve: - Scaling model pretraining ### On-Device ML Integration Engineer, Graphics, Games and Machine Learning - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $181K-$318K - Posted: 2026-05-21 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200642883/on-device-ml-integration-engineer-graphics-games-and-machine-learning?team=MLAI - Excerpt: On-Device ML Integration Engineer, Graphics, Games and Machine Learning Cupertino, United States of America Imagine being at the forefront of an evolution where cutting-edge AI meets the elegance of Apple silicon. The On-Device Machine Learning team transforms groundbreaking research into practical applications, enabling billions of Apple devices to run powerful AI models locally, privately, and efficiently. We stand at the unique intersection of research, software engineering, hardware engineering, and product development, making Apple the leading destination for machine learning innovation. Our team builds the essential infrastructure that enables machine learning at scale on Apple devices. This involves onboarding cutting-edge architectures to embedded systems, developing optimization toolkits for model compression and acceleration, building ML compilers and runtimes for efficient execution, and creating comprehensive benchmarking and debugging toolchains. This infrastructure forms the backbone of Apple's machine learning workflows across Camera, Siri, Health, Vision, and other core experiences, contributing to the overall Apple Intelligence ecosystem. If you are passionate about the technical challenges of running sophisticated ML models across all devices, from resource-constrained devices to powerful clusters, and eager to directly impact how machine learning operates across the Apple ecosystem, this role presents an exciting opportunity to work on the next generation of intelligent experiences on Apple platforms. We are seeking a seasoned ML Engineer with broad experience and an in depth understanding of machine learning, models and infrastructure. In this senior role, you will ensure Apple's inference stack allows integrating ML workflows end-to-end with excellent user experience, flawless functionality, and maximum performance. ### 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 ### Machine Learning Engineer/Senior Machine Learning Engineer - Infra, AI for Drug Discovery - Genentech, Inc. - Location: New York City, New York, United States of America (unspecified) - Salary: Not disclosed - Posted: 2026-05-20 - 401(k) match: listed (not source-backed) - Apply: https://roche.wd3.myworkdayjobs.com/ROG-A2O-GENE/job/New-York-City/Machine-Learning-Engineer-Senior-Machine-Learning-Engineer---Infra_202605-112081/apply - Excerpt: Machine Learning Engineer/Senior Machine Learning Engineer - Infra, AI for Drug Discovery New York City, New York, United States of America Join our team as a Senior Machine Learning Engineer and help revolutionize drug discovery with cutting-edge AI and ML infrastructure. Collaborate with top scientists, design scalable solutions on AWS, and drive innovation in a fast-paced, mission-driven environment. Shape the future of healthcare technology with Roche's pioneering AI group. ### AIML - Sr Machine Learning Engineer, Responsible AI - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $181K-$318K - Posted: 2026-02-12 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200636400/aiml-sr-machine-learning-engineer-responsible-ai?team=MLAI - Excerpt: AIML - Sr Machine Learning Engineer, Responsible AI Cupertino, United States of America Would you like to play a part in building the next generation of generative AI applications at Apple? We're looking for Machine Learning Engineers to work on ambitious projects that will impact the future of Apple, our products, and the broader world. This role is directed at assessing, quantifying, and improving the safety and inclusivity of Apple's Generative-AI powered features and products. In this role you'll have the opportunity to tackle innovative problems in machine learning, particularly focused on large language models for text generation, diffusion models for image generation, and mixed model systems for multimodal applications. As a member of Apple's Responsible AI group you will be working on a wide array of new features and research in the generative AI space. Our team is currently interested in large generative models for vision and language, with particular interest on Responsible AI, safety, fairness, robustness, explainability, and uncertainty in models. This role focuses on developing, carrying-out, interpreting, and communicating pre- and post-ship evaluations of the safety of Apple Intelligence features. Both human grading and model-based auto-grading are thoughtfully leveraged to power these evaluations. Additionally, this role researches and develops auto-grading methodology & infrastructure to benefit ongoing and future Apple Intelligence safety evaluations. Producing safety evaluations that uphold Apple's Responsible AI values requires thoughtful data sampling, creation, and curation for evaluation datasets; high quality, detailed annotations and careful auto-grading to assess feature performance; and mindful analysis to understand ### Senior Applied Scientist - AI Evaluation & Quality Systems - Apple - Location: Seattle, United States of America (unspecified) - Salary: $140K-$258K - Posted: 2026-04-16 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200653317/senior-applied-scientist-ai-evaluation-quality-systems?team=MLAI - Excerpt: Senior Applied Scientist - AI Evaluation & Quality Systems Seattle, United States of America Apple Services Engineering (ASE) powers the AI and LLM features behind experiences that hundreds of millions of users love every day. As these systems increasingly rely on human-in-the-loop evaluation, the quality of our products is directly constrained by the quality of our evaluation systems. We believe that to build exceptional AI, you need exceptional mechanisms to validate the signals used to train and evaluate them. The Human-centered AI, Data Quality Operations team is looking for a Senior Applied Scientist to join our growing team. We are building the systems and methodologies that make AI evaluation trustworthy, and scalable - directly shaping how Apple develops and validates AI across products and services. In this role, you will develop novel, scalable quality control solutions, working closely with cross-functional teams to ensure the data powering our AI/ML systems meets the highest standards of accuracy, consistency, and relevance. Your work will span two connected problem spaces. The first is the methodology and tooling that generates reliable ground truth and detects quality failures across human annotation and automated evaluation pipelines. The second is the autonomous QA agents that make those methodologies generalizable across teams and use cases. This role demands fluency across research thinking and engineering execution - you will prototype, validate, and ship. A strong point of view on when not to use a model or agent is as valued here as the ability to build one. Design and implement ### Pathogen Assays Specialist - Freelance AI Trainer Project - Agency - Location: United States of America (unspecified) - Salary: $8-$65/hr - Posted: 2026-06-07 - Apply: https://job-boards.eu.greenhouse.io/agency/jobs/4645492101 - Excerpt: Pathogen Assays Specialist - Freelance AI Trainer Project United States of America Are you a master of pathogen assays eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high‑quality training data, tomorrow's AI can democratize world‑class education, enhance laboratory diagnostics, and accelerate infectious disease research worldwide. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for specialists who live and breathe pathogen detection assays, molecular diagnostics, immunoassays, culture-based methods, biosafety protocols, assay validation, and clinical microbiology. You'll challenge advanced language models on topics like PCR, qPCR, ELISA, lateral flow assays, antigen and antibody testing, sensitivity and specificity analysis, multiplexing, controls and standards, and assay troubleshooting-documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on real-world lab scenarios and theoretical assay design questions, verify factual accuracy and workflow logic, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A PhD in microbiology, molecular biology, biomedical sciences, or a closely related life‑science field is ideal; peer‑reviewed publications, hands‑on experience with pathogen assay development or diagnostics, and familiarity with CLIA, CAP, or ISO standards signal fit. Clear, metacognitive communication-“showing your work”-is essential. Ready to turn your pathogen assay expertise into the knowledge base for tomorrow's AI? Apply today and start teaching the model that will teach the world. We offer a pay range of ### Senior Software Engineer - 6Sense - Location: San Francisco, California, United States (unspecified) - Salary: $191K-$287K - Posted: 2026-03-26 - 401(k) match: listed (not source-backed) - Apply: https://boards.greenhouse.io/6sense/jobs/7707001?gh_jid=7707001 - Excerpt: Senior Software Engineer San Francisco, California, United States Our Mission: 6sense's mission is to multiply what matters: growth, retention, and efficiency. We envision a future where companies, teams and people reach their full potential. Our People: People are the heart and soul of 6sense. We serve with passion and purpose. We live by our Being 6sense values of Win as One Team, Stay Curious, Do The Right Thing, Own the Outcome, and Create Belonging. Every 6sensor plays a part in defining the future of our industry-leading technology. 6sense is a place where difference-makers roll up their sleeves, take risks, act with integrity, and measure success by the value we create for our customers. We want 6sense to be the best chapter of your career. Role Overview We are looking for a high-impact Senior Software Engineer with strong expertise in backend development. The ideal candidate should have deep experience building scalable APIs, distributed systems, platforms, or engineering frameworks. You will play a key role in building scalable systems and driving engineering excellence. What You'll Do - Design and build scalable backend systems and APIs - Develop robust and production-grade applications - Architect APIs, microservices, and distributed systems - Collaborate with product, data, and design teams - Write clean, production-grade code - Contribute to system design and technical decisions - Mentor junior engineers What You Bring - 7+ years of experience in software engineering - Experience with Python and/or Java - Understanding of microservices and distributed systems - Experience with AWS, GCP, ### AIML - Staff Machine Learning Engineer, Answers, Knowledge & Information (AKI) - Apple - Location: Santa Clara, United States of America (unspecified) - Salary: $181K-$318K - Posted: 2025-08-27 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200602308/aiml-staff-machine-learning-engineer-answers-knowledge-information-aki?team=MLAI - Excerpt: AIML - Staff Machine Learning Engineer, Answers, Knowledge & Information (AKI) Santa Clara, United States of America The Siri and Information Intelligence team is revolutionizing the way hundreds of millions of people access information on their devices, all while keeping user privacy at the forefront. As an Applied ML team, we're pushing the boundaries of Apple Intelligence, result ranking, and innovative search technologies, all while running a low latency production service. Our work fuels intuitive information experiences across some of Apple's most iconic products, including Siri, Spotlight, Safari, Messages, Lookup, and more. Join us in shaping the future of how the world connects with information! We are looking for a senior Machine Learning Engineer with a passion for using machine learning to build intelligent search applications. Our team researches and implements novel query understanding, ranking and response generation techniques, machine learning algorithms and models that power amazing Search experiences across Apple products. In this role you will have the opportunity to develop LLMs and other NLP models for user productivity and improving Siri's ability to answer personal domain questions. Our team owns models which are responsible for answering users' questions using their personal documents with privacy at the forefront, and that integrates with other Siri capabilities to enable powerful user experiences. Role responsibilities include: - Contribute to research, design, implementation, and evaluation of models to enhance quality and performance, and to support key functions for Personal Q&A. - Implement and extend LLM models with fine-tuning and RLXF methodologies. Develop high ### 📈 Head of Data - Clubhouse - Location: Remote (US), United States (remote) - Salary: Not disclosed - Posted: 2026-05-29 - Apply: https://jobs.ashbyhq.com/clubhouse/9e8a8fad-38de-41b9-9d2c-9c9e6ed4b0b2 - Excerpt: 📈 Head of Data Remote (US), United States About us Alpha is a product studio focused on the intersection of AI and consumer social - backed by a16z and many of the world's top investors. Our goal is to create social products that we use, that our friends use, and that reach billions of people. Clubhouse was our first app, and we've been quietly growing that while building our next set of products. We have years of runway, have a deeply engaged user base, and find ourselves at a very interesting time - where AI is making entirely new things possible. We are a remote-friendly company - with a strong commitment to ensuring people can do great work here and thrive without having to live near an office. This role is open to candidates across the U.S. The role As Head of Data at Alpha, you'll work closely with our CEO to help shape our strategy and build data into everything we do, using the latest AI tooling to reinvent our workflows and increase our speed of shipping daily. You'll own the data function end-to-end while building and leading a small, high-leverage team in a player/coach capacity. Who you are - You are an experienced data leader. You can architect and build robust data pipelines, experimentation infrastructure, metrics dashboards, and monitoring tools in your sleep. You're equally comfortable writing SQL, reviewing a complex experiment, or diving deep into metrics with the Board. You enjoy staying close to the work while ### Product Lead, Predictive Platform - 6Sense - Location: United States, Remote (remote) - Salary: $189K-$256K - Posted: 2026-06-11 - 401(k) match: listed (not source-backed) - Apply: https://boards.greenhouse.io/6sense/jobs/7994497?gh_jid=7994497 - Excerpt: Product Lead, Predictive Platform United States, Remote Our Mission: 6sense's mission is to multiply what matters: growth, retention, and efficiency. We envision a future where companies, teams and people reach their full potential. Our People: People are the heart and soul of 6sense. We serve with passion and purpose. We live by our Being 6sense values of Win as One Team, Stay Curious, Do The Right Thing, Own the Outcome, and Create Belonging. Every 6sensor plays a part in defining the future of our industry-leading technology. 6sense is a place where difference-makers roll up their sleeves, take risks, act with integrity, and measure success by the value we create for our customers. We want 6sense to be the best chapter of your career. Product Lead, Predictive Platform Are you a strategic thinker with a deep background in predictive modeling and a passion for leading teams? At 6sense, our differentiation is built on our ability to accurately predict intent and buyer behavior. We are looking for a Product Lead to own our Predictive Platform-the foundational engine that powers our entire intelligence layer and defines how the world's leading B2B brands identify their next customers. This is a Player/Coach role. You will be the primary driver of our core predictive foundation and cross-model initiatives while simultaneously serving as the people manager and program leader for a specialized pod of Product Managers. You will oversee the roadmap for how we train, measure, and scale the models that power everything from Fit and Intent ### Translator/Linguist (Freelance) - ElevenLabs - Location: United Kingdom, Germany, India, Brazil, Spain, France, Portugal, Mexico (unspecified) - Salary: Not disclosed - Posted: 2026-02-12 - Apply: https://jobs.ashbyhq.com/elevenlabs/bd230a18-2ff4-493c-8555-8476bf7de0e4 - Excerpt: Translator/Linguist (Freelance) United Kingdom, Germany, India, Brazil, Spain, France, Portugal, Mexico About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company-from engineering to growth to operations. - Excellence everywhere: Everything ### Senior ML Infrastructure Engineer - Training Algorithms, SIML - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $181K-$318K - Posted: 2026-02-25 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200633249/senior-ml-infrastructure-engineer-training-algorithms-siml?team=MLAI - Excerpt: Senior ML Infrastructure Engineer - Training Algorithms, SIML Cupertino, United States of America Are you passionate about Generative AI? Are you interested in working on groundbreaking generative modeling technologies to enrich billions of people? We are the Intelligence System Experience (ISE) team within Apple's software organization. The team operates at the intersection of multimodal machine learning and system experiences. Our multidisciplinary ML teams focus on a broad spectrum of areas, including Visual Generative Foundation Models, Multimodal Understanding, Visual Understanding of People, Text, Handwriting, and Scenes, Personalization, Knowledge Extraction, Conversation Analysis, Behavioral Modeling for Proactive Suggestions, and Privacy-Preserving Learning. These innovations form the foundation of the seamless, intelligent experiences our users enjoy every day. We are seeking engineers experienced in building infrastructure for training, adapting and deploying large-scale generative models. In this role, you will be working with closely with a cross functional team of algorithm design and infrastructure engineers to benchmark, prototype and steer algorithmic choices to best fit our training & deployment infrastructure. In this role you will be technically hands on, with deep subject matter expertise in ML infrastructure. Responsibilities Include: - Training optimizations & profiling targeting vision/language pre-training - Researching training recipes for effective scheduling of multimodal training workloads - Experimentation & tooling for post-training ablations including reward modeling, distillation and prompt optimization - Coordinating with post-training algorithm owners for analyzing quality / performance tradeoffs of downstream capabilities - Ablations involving optimization aware fine-tuning Minimum Qualifications: Bachelors, Masters, or PhD in Electrical Engineering/Computer Science or a related ### Software Development Engineer AI/ML, Inference Serving, AWS Neuron - Amazon - Location: Cupertino, California, USA (unspecified) - Salary: $193K-$262K - Posted: 2025-09-19 - Parental leave: 6 weeks (not source-backed) - Non-birth-parent leave: 6 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Fertility benefits: yes (not source-backed) - Adoption assistance: yes (not source-backed) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/3089270/software-development-engineer-ai-ml-inference-serving-aws-neuron - Excerpt: Software Development Engineer AI/ML, Inference Serving, AWS Neuron Cupertino, California, USA AWS Neuron is the software stack powering AWS Inferentia and Trainium machine learning accelerators, designed to deliver high-performance, low-cost inference at scale. The Neuron Serving team develops infrastructure to serve modern machine learning models-including large language models (LLMs) and multimodal workloads-reliably and efficiently on AWS silicon. We are seeking a Software Development Engineer to lead and architect our next-generation model serving infrastructure, with a particular focus on large-scale generative AI applications. Key job responsibilities * Architect and lead the design of distributed ML serving systems optimized for generative AI workloads * Drive technical excellence in performance optimization and system reliability across the Neuron ecosystem * Design and implement scalable solutions for both offline and online inference workloads * Lead integration efforts with frameworks such as vLLM, SGLang, Torch XLA, TensorRT, and Triton * Develop and optimize system components for tensor/data parallelism and disaggregated serving * Implement and optimize custom PyTorch operators and NKI kernels * Mentor team members and provide technical leadership across multiple work streams * Drive architectural decisions that impact the entire Neuron serving stack * Collaborate with customers, product owners, and engineering teams to define technical strategy * Author technical documentation, design proposals, and architectural guidelines A day in the life You'll lead critical technical initiatives while mentoring team members. You'll collaborate with cross-functional teams of applied scientists, system engineers, and product managers to architect and deliver state-of-the-art inference capabilities. Your day might involve: * Leading ### Staff Machine Learning Engineer - Tools & Frameworks AI - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $181K-$318K - Posted: 2026-03-12 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200641250/staff-machine-learning-engineer-tools-frameworks-ai?team=SFTWR - Excerpt: Staff Machine Learning Engineer - Tools & Frameworks AI Cupertino, United States of America Our team of applied ML scientists and engineers works to enhance the experience and productivity of software development at Apple. Our team applies state-of-the-art ML models to solve real-world problems in software quality and development workflows. We're looking for talented and enthusiastic team members to join us in our efforts. If this sounds like you, we have many challenging and interesting problems to work on together and would love to talk to you! Our team designs and builds ML solutions to transform how Apple and developers in the ecosystem approach developing quality software at scale. We are a team of applied scientists, infrastructure engineers, and machine learning engineers who work with NLP, computer vision, and multimodal domains to create AI-powered testing solutions. In this role, you will be responsible for developing novel ML approaches to challenging quality problems at scale. You'll work hands-on with a diverse set of ML techniques to find what actually works in production. You'll guide technical direction for the team, mentoring junior engineers while maintaining deep involvement in the code and experimentation yourself. Your technical judgment and understanding of both generative models and traditional ML methods will directly shape our product direction. You will be successful and feel fulfilled in our team if you enjoy tackling challenging problems with creative solutions, have strong intuition for what will and won't work in practice, and thrive in a collaborative team setting where you can ### 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 ### Wildcard Application - Adaptyv - Location: Lausanne / Hybrid / Remote | Hybrid | Remote (hybrid) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/adaptyv/3204f0c1-1e66-471c-96ff-7825dbf56e61 - Excerpt: Wildcard Application Lausanne / Hybrid / Remote | Hybrid | Remote Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. READ THIS FIRST This is not a "submit your CV and see what happens" posting. We open one of these because occasionally someone comes along who is so obviously exceptional that not having a role for them would be our mistake, not theirs. That person is rare. If you're applying because none of our open roles quite fit but ### Senior Manager Biomarker Operations - Ipsen - Location: 2 Locations (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - 401(k) match: listed (not source-backed) - Apply: https://ipsen.wd103.myworkdayjobs.com/Ipsen_Careers/job/Paris/Senior-Manager-Biomarkers-Operations_R-21055-1 - Excerpt: Senior Manager Biomarker Operations 2 Locations posted: Posted 30+ Days Ago ### AIML - Sr Backend Engineer, Data and ML Innovation - Apple - Location: Seattle, United States of America (unspecified) - Salary: $140K-$258K - Posted: 2025-11-05 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200609199/aiml-sr-backend-engineer-data-and-ml-innovation?team=MLAI - Excerpt: AIML - Sr Backend Engineer, Data and ML Innovation Seattle, United States of America Do you want to play a part in the next revolution in Foundation Models? Contribute to model hillclimbing for Apple Intelligence features that leverage Apple Foundation Models, and work with the people who built the intelligent products that helps millions of people get things done - just by asking or typing? The vision for the AI/ML FM Data organization is to improve Foundation Models by leveraging data from a variety of sources: crawl, license, vendor and internal crowd-sourcing. As a Sr Software Engineering on the team, you will drive backend innovations, identify key opportunity areas where data can play a crucial role and experiment with various data augmentation strategies to improve model training efficiency and performance.. We are looking for people with a track record in building scalable pipelines and services. Join us, and impact hundreds of millions of customers across billions of their interactions with foundation model powered Apple Intelligence features, that are available on iPhone, iPad, HomePod, Mac, Watch, CarPlay, and tv across more than 30 languages! As a Sr Backend Software engineer, you will be responsible for the following areas. - Training data pipeline development. Convert raw data into format acceptable by training jobs on GCP and AWS. Leverage internal and open-sourced training modules. - Large scale inferences: Leverage internal and open-sourced inference stack to generate inferences with fine-tuned LLMs on massive amounts of data, for pre-train and post-training - Data processing and ### AIML - Senior Machine Learning Engineer - Data Science, Responsible AI and Safety - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $181K-$318K - Posted: 2026-02-20 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200647866/aiml-senior-machine-learning-engineer-data-science-responsible-ai-and-safety?team=MLAI - Excerpt: AIML - Senior Machine Learning Engineer - Data Science, Responsible AI and Safety Cupertino, United States of America Would you like to play a part in building the next generation of generative AI applications at Apple? We're looking for Machine Learning Engineers to work on ambitious projects that will impact the future of Apple, our products, and the broader world. This role is directed at assessing, quantifying, and improving the safety and inclusivity of Apple's Generative-AI powered features and products. In this role you'll have the opportunity to tackle innovative problems in machine learning, particularly focused on large language models for text generation, diffusion models for image generation, and mixed model systems for multimodal applications. As a member of Apple's Responsible AI group you will be working on a wide array of new features and research in the generative AI space. Our team is currently interested in large generative models for vision and language, with particular interest on Responsible AI, safety, fairness, robustness, explainability, and uncertainty in models. This role focuses on developing, carrying-out, interpreting, and communicating pre- and post-ship evaluations of the safety of Apple Intelligence features. Both human grading and model-based auto-grading are thoughtfully leveraged to power these evaluations. Additionally, this role researches and develops auto-grading methodology & infrastructure to benefit ongoing and future Apple Intelligence safety evaluations. Producing safety evaluations that uphold Apple's Responsible AI values requires thoughtful data sampling, creation, and curation for evaluation datasets; high quality, detailed annotations and careful auto-grading to assess feature performance; ### Senior / Principal Scientist, AI for Protein Engineering - Lila Sciences - Location: San Francisco, CA USA (unspecified) - Salary: $268K-$358K - Posted: 2026-05-04 - Learning budget: yes (not source-backed) - Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4237298009 - Excerpt: Senior / Principal Scientist, AI for Protein Engineering San Francisco, CA USA Your Impact at LILA Lila is building a platform where AI and automation co-evolve to solve the hardest problems in medicine. Within Life Sciences AI (LSAI), the AI for Protein Engineering team develops and uses the generative and predictive models that drive Lila's biomolecule design programs from in silico hypothesis to wet-lab validated lead. We are seeking a Senior or Principal Scientist to join this team as a senior IC focused on antibody design and engineering. You will develop and execute the methods and workflows that ensure successful completion of antibody campaigns. Scope may expand to additional modalities such as enzymes and peptides as needs evolve. This role sits at the bilingual edge of ML and biology. You will own biological understanding of campaign needs and partner closely with the Life Science Research team to design and validate computational predictions in the lab. You will shape the technical agenda for AI protein engineering at Lila and represent that work both internally and to the broader research community. What You'll Be Building - Develop and own protein design and engineering workflows for antibody campaigns, including de novo design, affinity maturation, and developability optimization - Execute design workflows end-to-end for active campaigns and deliver wet-lab-validated leads against program milestones - Translate campaign requirements - epitope selection, affinity targets, biophysical constraints, and developability criteria - into well-defined ML problems and design specifications - Adapt and extend state-of-the-art AI methods (generative models, ### Machine Learning Engineer, User & Content Intelligence - Apple - Location: Seattle, United States of America (unspecified) - Salary: $140K-$258K - Posted: 2026-03-17 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200651949/machine-learning-engineer-user-content-intelligence?team=MLAI - Excerpt: Machine Learning Engineer, User & Content Intelligence Seattle, United States of America Imagine shaping how millions of people discover content they love on the App Store, Apple Music, and Apple TV+. Our team is responsible for the intelligence that powers these deeply personal experiences. We are at a pivotal moment, defining the next generation of personalization. We build the foundational capabilities that empower product and research teams to deliver hyper-personalized experiences while maintaining an uncompromising commitment to user privacy. We believe that deep personalization shouldn't require compromising user trust, and we are pioneering the decentralized data systems to prove it. This is not a standard Data Engineering or ML role. We are looking for a pioneering engineer to join our team. You will build the systems that securely process, combine, and deliver the critical user and content features needed for personalization, spanning from edge devices to cloud backends. You will engineer high-performance stacks that transform raw data into governed, discoverable intelligence, ensuring that machine learning models can seamlessly and securely access the right user and content features regardless of where that data physically resides. Architect Distributed Feature Access: Design and build the access layer that abstracts the physical location of data. Ensure that inference systems can seamlessly access real-time on-device context, cloud-based service history, and content metadata through a unified, familiar API. Engineer Large-Scale Feature Pipelines: Build robust, petabyte-scale pipelines that ingest and combine disparate data into coherent user profiles and rich content representations. Architect Training Data Systems: Transform raw ### On-Device ML Infrastructure Engineer, ML User Experience, APIs & Integration, Graphics, Games and Machine Learning - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $147K-$272K - Posted: 2026-03-27 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200631250/on-device-ml-infrastructure-engineer-ml-user-experience-apis-integration-graphics-games-and-machine-learning?team=MLAI - Excerpt: On-Device ML Infrastructure Engineer, ML User Experience, APIs & Integration, Graphics, Games and Machine Learning Cupertino, United States of America Imagine being at the forefront of an evolution where innovative AI meets the elegance of Apple silicon. The On-Device Machine Learning team transforms groundbreaking research into practical applications, enabling billions of Apple devices to run powerful AI models locally, privately, and efficiently. We stand at the unique intersection of research, software engineering, hardware engineering, and product development, making Apple a top destination for machine learning innovation. We are building the first end-to-end developer experience for ML development that, by taking advantage of Apple's vertical integration, allows developers to iterate on model authoring, optimization, transformation, execution, debugging, profiling and analysis. This team builds the essential infrastructure that enables machine learning at scale on Apple devices. This involves onboarding modern architectures to embedded systems, developing optimization toolkits for model compression and acceleration, building ML compilers and runtimes for efficient execution, and creating comprehensive benchmarking and debugging toolchains. This infrastructure forms the backbone of Apple's machine learning workflows across Camera, Siri, Health, Vision, and other core experiences, supplying to the overall Apple Intelligence ecosystem. If you are passionate about the technical challenges of running sophisticated ML models across all devices, from resource-constrained devices to powerful clusters, and eager to directly impact how machine learning operates across the Apple ecosystem, this role presents a great opportunity to work on the next generation of intelligent experiences on Apple platforms. Our group is seeking an ML ### Senior Principal Machine Learning Scientist, AI Biology & Translation (AIBT) - Genentech, Inc. - Location: South San Francisco, California, United States of America (unspecified) - Salary: Not disclosed - Posted: 2026-06-10 - 401(k) match: listed (not source-backed) - Apply: https://roche.wd3.myworkdayjobs.com/ROG-A2O-GENE/job/South-San-Francisco/Senior-Principal-Machine-Learning-Scientist--AIBT_202606-114453-1/apply - Excerpt: Senior Principal Machine Learning Scientist, AI Biology & Translation (AIBT) South San Francisco, California, United States of America Join our team as a Senior Machine Learning Scientist and drive innovation in AI and data science. Leverage your expertise in Python, deep learning, and statistical analysis to solve complex problems and shape the future of technology. Collaborate with top talent and make a real impact in a dynamic, forward-thinking environment. ### Full-Stack Engineer - Sisense - Location: Ramat Gan (unspecified) - Salary: Not disclosed - Posted: 2026-04-20 - 401(k) match: listed (not source-backed) - Apply: https://www.sisense.com/about/careers/7833914?gh_jid=7833914 - Excerpt: Full-Stack Engineer Ramat Gan About Sisense Sisense is a leading AI-powered Analytics Platform as a Service (AnPaaS) that empowers product teams and developers to embed conversational, predictive, and agentic intelligence directly into applications and workflows. Our API-first, developer-first platform turns complex data into faster, smarter, actionable decisions for thousands of global customers. With the recent launch of Sisense Intelligence (Intelligence Assistant, MCP server, Managed LLM), we are pushing the boundaries of embedded analytics and making AI-driven insights accessible at scale. The Role As a Full-Stack Engineer, you will play a key role in building and enhancing the core platform that powers embedded AI analytics. You will work across the stack - from backend services and APIs to frontend interfaces - helping to deliver delightful, high-performance experiences for both developers and end users. This is a hands-on role where you'll contribute to features that directly impact how customers embed intelligence into their products, with a strong focus on scalability, developer experience, and innovation. Key Responsibilities - Develop and maintain full-stack features using Node.js (backend) and React (frontend). - Build and optimize APIs and services that power our embedded analytics capabilities. - Collaborate closely with Product, Design, and other Engineering teams to deliver high-quality, user-centric solutions. - Participate in code reviews, architectural discussions, and technical decision-making. - Contribute to improving platform performance, reliability, and developer experience. - Help shape and implement features related to Sisense Intelligence (agentic AI, conversational interfaces, predictive analytics). - Write clean, maintainable, and well-tested code while following best ### AIML - Sr Machine Learning Engineer - Answers, Knowledge & Information (AKI) - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $181K-$318K - Posted: 2025-08-08 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200615736/aiml-sr-machine-learning-engineer-answers-knowledge-information-aki?team=MLAI - Excerpt: AIML - Sr Machine Learning Engineer - Answers, Knowledge & Information (AKI) Cupertino, United States of America The Answers, Knowledge and Information team is revolutionizing the way hundreds of millions of people access information on their devices, all while keeping user privacy at the forefront. As an Applied ML team, we're pushing the boundaries of Apple Intelligence, result ranking, and innovative search technologies, all while running a low latency production service. Our work fuels intuitive information experiences across some of Apple's most iconic products, including Siri, Spotlight, Safari, Messages, Lookup, and more. Join us in shaping the future of how the world connects with information! We are looking for a senior Machine Learning Engineer with a passion for building scalable, high quality solutions to evaluate personalized search applications. In this role, will directly impact how we assess and improve the quality of novel search applications by driving solutions for data generation, data quality assessment, offline and online metrics, and methods for statistical model and search quality assessment. Your work will impact the quality of innovative Search experiences across Apple products. In this role you will have the opportunity to develop data generation methodologies for personalized model and search systems evaluations, online and offline metrics for quality assessment and build scalable systems for comprehensive evaluation. Our team is responsible for models and evaluation of search experiences that answer user's questions using their personal documents with privacy at the forefront. Role responsibilities include: - Design and implement novel data generation and data ### 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 ### AIML - Sr Machine Learning Engineer, Evaluation - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $212K-$386K - Posted: 2026-06-11 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200668113/aiml-sr-machine-learning-engineer-evaluation?team=MLAI - Excerpt: AIML - Sr Machine Learning Engineer, Evaluation Cupertino, United States of America We are seeking a highly skilled and experienced machine learning engineer to join AIML Evaluation to build the systems that evaluate and refine Apple's foundation models and agents. As a key member of the team, you will help design and develop benchmarks, evaluators, simulation environments, and prompt and context optimization pipelines that drive quality improvements across Apple's AI experiences. You will collaborate with product teams and the foundation model team to close the loop between observation and improvement, contributing datasets, environments, and reward signals that drive model and agent quality. Our team builds the benchmarks, environments, and tooling that power model and agent refinement, and turns observations into actionable opportunities for the next model and agent iteration. We work across the full spectrum of evaluation: offline benchmarks, device-in-the-loop simulation, and on-device observation in production. We develop LLM-as-judge evaluators, train reward models calibrated against human feedback, optimize prompts and context for agents, and contribute targeted datasets and reward signals to foundation model post-training. In this role, you will play a crucial role in designing and developing evaluation and refinement infrastructure that supports a broad range of AI products at Apple. You will work on agent and model evaluation across offline, device-in-the-loop, and on-device settings; build automated prompt and context optimization pipelines; and partner with product and research teams to translate failure analysis into measurable model and agent improvements. You will also have the opportunity to engage with product teams ### Generative AI Applied Scientist, SIML - ISE - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $147K-$272K - Posted: 2026-06-09 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200632699/generative-ai-applied-scientist-siml-ise?team=MLAI - Excerpt: Generative AI Applied Scientist, SIML - ISE Cupertino, United States of America Apple's System Intelligence and Machine Learning (SIML) team is seeking a senior Generative AI expert to pioneer the next generation of human-centric device interaction and multimodal scene understanding. You will be at the core of our efforts to develop multimodal LLMs that can perceive and understand complex scenes and nuanced human interactions, behaviors, and preferences. This is a unique opportunity to join a leading applied research group known for its foundational contributions to Apple Intelligence, where you will focus on the end-to-end lifecycle of generative models-from novel architecture design and large-scale training to final deployment. We are looking for a senior applied scientist with strong ML and Generative modeling skills who can design, train, and deploy multimodal GenAI technology. You will need to learn quickly and implement and demonstrate new user experiences using large foundation models. You will build novel and innovative technology, forge collaborations with cross-functional partners, and adapt and iterate your solutions in a dynamic environment. You will be expected to advance human interaction and scene understanding modeling across various fronts, from a system level to a core ML algorithm level. Some of the myriad challenges include understanding user behavior and preferences from interactions with the device and the environment, retrieving useful and nuanced information based on past interactions, handling deeply interleaved streaming inputs, reasoning over varying temporal contexts, developing memory systems to enable long-term adaptation, and generating semantically rich internal representations to enable open-ended downstream ### Applied ML Scientist (Staff / Principal) - Genesis Molecular AI - Location: San Mateo, CA (unspecified) - Salary: Not disclosed - Posted: 2026-05-19 - Apply: https://jobs.ashbyhq.com/genesis-molecular-ai/b239a6b5-40f2-41fd-93e6-3b7ca2c7eac7 - Excerpt: Applied ML Scientist (Staff / Principal) San Mateo, CA About the Team Join a world-class team at the forefront of AI and biochemistry. At Genesis Molecular AI, we're a tight-knit team of proven deep learning researchers, software engineers, and drug discovery pioneers. Our shared mission is nothing short of revolutionary: to forge the next generation of AI foundation models that will unlock groundbreaking therapies for patients with severe diseases. We don't just apply machine learning to biology; we are conducting fundamental research at the intersection of machine learning, physics, and computational chemistry, pushing the boundaries of each field. You will work side-by-side with top multidisciplinary researchers to design and build generative foundation models at scale, having access to ample compute and large-scale simulations. About the Role This unique role is for a scientist who is passionate about being a catalyst for applying cutting-edge AI to solve real-world drug discovery challenges. You will be the critical bridge between our long-term research and our experimental drug discovery programs. Your mission is to build, evaluate, monitor, and improve our state-of-the-art models directly into active drug programs, leading the charge on model validation, deployment, and analysis to guide the discovery of new medicines. You will act as both a translator and a strategist, ensuring our research is aimed at the most critical challenges and that our drug hunters can leverage the full power of our industry-leading AI platform. This role requires a deep understanding of cheminformatics, computational chemistry, and experimental techniques, strong data science ### Supervisor, R&D, ELISA & Luminex Assay Development - Bio-Techne - Location: Minneapolis, MN (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - 401(k) match: listed (not source-backed) - Apply: https://biotechne.wd5.myworkdayjobs.com/biotechne/job/Minneapolis-MN/Supervisor--R-D--ELISA---Luminex-Assay-Development_JR101800-1 - Excerpt: Supervisor, R&D, ELISA & Luminex Assay Development Minneapolis, MN posted: Posted 30+ Days Ago ### Staff Applied Scientist, AI Quality & Meta Evaluation - Apple - Location: Seattle, United States of America (unspecified) - Salary: $201K-$302K - Posted: 2026-05-04 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200661039/staff-applied-scientist-ai-quality-meta-evaluation?team=MLAI - Excerpt: Staff Applied Scientist, AI Quality & Meta Evaluation Seattle, United States of America Apple Services Engineering (ASE) powers AI and LLM features across App Store, Music, Video, and more. As these systems increasingly rely on LLM Judges and automated evaluators to score model performance at scale, the trustworthiness of those evaluation signals becomes mission-critical. We believe that to build exceptional LLMs, you need exceptional mechanisms to validate the signals used to train and evaluate them. As a Principal Applied Scientist on the Human Centered AI team, you will be the technical engine behind our Data Quality Validation framework. This is a high-impact individual contributor role for a scientist who wants to architect and build - not just advise. You will own the data science methodology underpinning our data quality validation models, design the statistical frameworks that govern judge reliability, and work hands-on to close the loop between automated evaluation and human ground truth. You will be the person who answers the hardest question in our stack: "Can we trust the evaluators that are evaluating our models?" Design, develop, and iterate on the reasoning agent that serves as our adjudicator, auditing Production LLM Judge outputs for hallucination, drift, and systematic bias Develop the statistical and ML approaches that detect when Production LLM Judges diverge from ground truth, including confidence calibration, entropy-based uncertainty quantification, and out-of-distribution detection Define the algorithms that determine what gets routed for deeper review, moving the team from random sampling to principled, risk-stratified smart sampling Design the hierarchical ### SMB Account Executive (EMEA) - Benchling - Location: Zurich, Switzerland | Hybrid | Remote (hybrid) - Salary: Not disclosed - Posted: 2026-06-07 - 401(k) match: listed (not source-backed) - Apply: https://jobs.ashbyhq.com/benchling/73b44c32-f5ab-48e5-a812-c70f09858f15 - Excerpt: SMB Account Executive (EMEA) Zurich, Switzerland | Hybrid | Remote We are rebuilding biotech for the AI era. When a breakthrough is delayed, the world waits. Getting a molecule from discovery to patients, or a crop from lab to field, involves thousands of slow, manual, disconnected steps. AI has the potential to change this, compressing decades of R&D work into years. But that only happens when clean, structured scientific data and AI are built into how science gets done. Benchling is the AI platform for biotech R&D. Scientists use Benchling to design experiments, capture structured data, and run AI agents and models directly in their workflows. Over 200,000 scientists around the world trust Benchling to power their most important work, from academic labs to Sanofi, Moderna, and more than half of the world's top 50 biopharma. We're building an AI scientist for our customers. We can't do that if we haven't built the muscle ourselves. AI fluency is the foundation we build on; it's core to how we work, and we're committed to helping every new hire integrate it into their day-to-day. As part of our interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today. ROLE OVERVIEW We are seeking a motivated and results-driven SMB Account Executive to join our team. In this role, you will be responsible for driving ### INTERNSHIP - NAND Cell Characterization & AI Tools - Micron Technology, Inc. - Location: Vimercate (MB), Italy (unspecified) - Salary: Not disclosed - Posted: 2026-06-10 - 401(k) match: listed (not source-backed) - Apply: https://micron.wd1.myworkdayjobs.com/External/job/Vimercate-MB-Italy/INTERNSHIP---NAND-Cell-Characterization---AI-Tools_JR103179 - Excerpt: INTERNSHIP - NAND Cell Characterization & AI Tools Vimercate (MB), Italy posted: Posted 2 Days Ago ### Machine Learning Engineer - AI & ML Evaluation Frameworks - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $147K-$272K - Posted: 2026-06-08 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200665512/machine-learning-engineer-ai-ml-evaluation-frameworks?team=HRDWR - Excerpt: Machine Learning Engineer - AI & ML Evaluation Frameworks Cupertino, United States of America The Health Sensing Machine Learning Interpretability & Analytics (MLIA) team ensures clinical rigor and contextual trust are at the foundation of Apple's health sensing features. We are looking for an exceptional ML Engineer to help us build the next generation of scalable evaluation infrastructure and lead rigorous investigations into model performance. You will develop cutting-edge tools, synthetic data pipelines, and automated frameworks that ensure our health features are mathematically sound, demographically equitable, and clinically safe. If you are passionate about AI safety, robust software architecture, and pushing the boundaries of ML innovation, come join us! In this role, you will architect and build large-scale evaluation frameworks to interrogate unimodal ML systems and multi-modal foundation models. Beyond infrastructure, you will lead deep-dive ML evaluations, performing failure analysis to uncover performance gaps, reasoning flaws, and edge cases. You will translate findings into actionable insights and work directly with algorithm teams to improve the safety and reliability of our health features. Your work will empower teams across Apple to rapidly evaluate multi-modal sensor fusion while upholding Apple's privacy standards. Design robust methodologies and scalable frameworks to assess the performance, reliability, and safety of both traditional ML and foundation models (e.g., LLMs, diffusion models). Drive failure analysis along with building instrumentation to detect clinical hallucinations, reasoning flaws, and edge cases. Expand LLM/diffusion-based data generation pipelines that enable model training and evaluation without exposing real user data. Build data adaptors and ### Leading Data-Driven Lab for AI Medicines - Inceptive - Location: Palo Alto, CA (unspecified) - Salary: $245K-$305K - Posted: 2026-02-24 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/inceptive/jobs/5060348007 - Excerpt: Leading Data-Driven Lab for AI Medicines Palo Alto, CA At Inceptive, you will help pioneer the next generation of AI-designed drugs, with the potential to positively impact billions of people, as part of a collaborative, antedisciplinary team. Training on natural and experimentally-derived data is a core aspect of how our AI models learn to generate therapeutic molecules with exceptional properties. We invest deeply in building and scaling data sources to train and evaluate our models for maximal performance. At the same time, careful validation in orthogonal, translationally-relevant assays is crucial to orient our models. We are seeking a senior scientific leader versed in high-throughput and translational biology to drive the continued growth and impact of our Palo Alto Lab. You will be a force multiplier for our scientists and engineers, ensuring a high standard of scientific rigor and output in a fast-paced, dynamic environment. You will also interface closely with our AI team to maximize the impact of internal data on Inceptive's foundation models. Your Mission, should you choose to accept it - Lead development and scale-up of high-throughput assays across in vitro, cellular, and in vivo systems, leveraging multiplexed assays and laboratory automation - Define and execute a lab strategy aligned with Inceptive's therapeutic and platform priorities, while remaining flexible as modality and partnership needs evolve - Champion an antedisciplinary culture, encouraging curiosity, rigor, and collaboration across scientific boundaries - Manage, mentor, and develop a multidisciplinary team of scientists and engineers that rapidly generates high-impact biological data to improve ### Sr. Software Engineer - Data - 6Sense - Location: Bengaluru, Karnataka, India (unspecified) - Salary: Not disclosed - Posted: 2026-05-18 - Apply: https://boards.greenhouse.io/6sense/jobs/7858464?gh_jid=7858464 - Excerpt: Sr. Software Engineer - Data Bengaluru, Karnataka, India Our Mission: 6sense's mission is to multiply what matters: growth, retention, and efficiency. We envision a future where companies, teams and people reach their full potential. Our People: People are the heart and soul of 6sense. We serve with passion and purpose. We live by our Being 6sense values of Win as One Team, Stay Curious, Do The Right Thing, Own the Outcome, and Create Belonging. Every 6sensor plays a part in defining the future of our industry-leading technology. 6sense is a place where difference-makers roll up their sleeves, take risks, act with integrity, and measure success by the value we create for our customers. We want 6sense to be the best chapter of your career. About the Role At 6sense, data powers our AI‑first products at massive scale. We're looking for a Senior Software Engineer - Data who can design, own, and evolve large‑scale data systems end‑to‑end, while using AI tools (prompting + vibe coding) as a force multiplier. This is not an ML research role. AI here means leveraging LLMs to accelerate engineering velocity and improve system quality. At this level, you are expected to drive architecture, lead complex problem solving, and influence technical direction across systems. What You'll Do End-to-End System Ownership - Design, build, and operate large-scale batch and real-time data pipelines. - Take ownership of entire data domains (not just pipelines) including ingestion → transformation → serving layers. - Ensure high reliability, observability, and maintainability of data ### Machine Learning Engineer, ML/GenAI Evaluation - Apple - Location: Austin, United States of America (unspecified) - Salary: $172K-$302K - Posted: 2026-06-11 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200667292/machine-learning-engineer-ml-genai-evaluation?team=SFTWR - Excerpt: Machine Learning Engineer, ML/GenAI Evaluation Austin, United States of America Would you like to contribute to Machine Learning and Generative AI technologies? Are you passionate about measuring what matters and ensuring AI systems work reliably for everyone? Do you believe that rigorous evaluation - including holding models accountable to fairness standards - is what separates great ML from good ML? We truly believe it is! We are defining what exceptional looks like for machine learning across Wallet, Payments, and Commerce. As a Machine Learning Engineer specializing in Evaluation, you will establish the evaluation criteria, metrics frameworks, and quality standards that determine when models are ready to reach hundreds of millions of users. Your judgment shapes model quality and earns the confidence to ship. You'll work at the intersection of rigorous ML science and high-impact product decisions, collaborating closely with ML Engineering, Product, Privacy, and Legal teams. This unique opportunity puts you at the center of model quality - designing adversarial test strategies, surfacing failure modes before they reach users, and owning the sign-off process that ensures Apple's financial features meet the highest bar for accuracy, robustness, and reliability. The ideal candidate is a rigorous, curious ML practitioner who believes that how you measure a model is just as important as how you train it. You think critically about what metrics actually capture, know how models break in the real world, and hold quality standards others find uncomfortably high - including on dimensions like fairness. You will own the full evaluation ### Senior Software Engineer, Data Processing - Protege - Location: Remote, United States (remote) - Salary: Not disclosed - Posted: 2026-06-03 - Apply: https://jobs.ashbyhq.com/protege/74a9d6fb-b2de-4110-a775-22605e922110 - Excerpt: Senior Software Engineer, Data Processing Remote, United States Company Overview: We are building Protege to solve the biggest unmet need in AI - getting access to the right training data. The process today is time intensive, incredibly expensive, and often ends in failure. The Protege platform facilitates the secure, efficient, and privacy-centric exchange of AI training data. Solving AI's data problem is a generational opportunity. We're backed by world-class investors and already powering partnerships with some of the most ambitious teams in AI. The company that succeeds will be one of the largest in AI - and in tech. We're a lean, fast-moving, high-trust team of builders who are obsessed with velocity and impact. Our culture is built for people who thrive on ambiguity, own outcomes, and want to shape the future of data and AI. About the Role Protege is hiring a Senior Software Engineer to own the data processing layer at ingestion - the part of the platform that takes large-scale source data and turns it into clean, structured, enriched, validated, AI-ready datasets. This is a hands-on, backend- and data-heavy role with end-to-end ownership of the pipelines that move and process data at volume. Protege connects organizations that hold high-value data with the AI builders who need it. The value of that exchange depends on what happens at ingestion: raw, varied, high-volume source data has to be processed reliably, securely, and at scale before it's useful to anyone. You'll work across imaging, audio, video, and other data modalities, ### Process Development Senior Scientist - Synthetic Peptides, Oligonucleotides, ADCs - Amgen - Location: US - California - Thousand Oaks (unspecified) - Salary: Not disclosed - Posted: 2026-05-29 - 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/US---California---Thousand-Oaks/Process-Development-Senior-Scientist---Synthetic-Peptides--Oligonucleotides--ADCs_R-246322 - Excerpt: Process Development Senior Scientist - Synthetic Peptides, Oligonucleotides, ADCs US - California - Thousand Oaks posted: Posted 14 Days Ago ### Senior Machine Learning Engineer - Nexxen International - Location: New York, NY | [Hybrid] | Remote (hybrid) - Salary: Not disclosed - Posted: 2026-06-04 - Apply: https://jobs.ashbyhq.com/nexxen/d3002843-c8a8-48bf-94bd-8e21400cf602 - Excerpt: Senior Machine Learning Engineer New York, NY | [Hybrid] | Remote ### Wetlab Protocol Specialist - Freelance AI Trainer Project - Agency - Location: United States of America (unspecified) - Salary: $8-$65/hr - Posted: 2026-06-07 - Apply: https://job-boards.eu.greenhouse.io/agency/jobs/4645510101 - Excerpt: Wetlab Protocol Specialist - Freelance AI Trainer Project United States of America Are you a master of wetlab protocols eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high‑quality training data, tomorrow's AI can democratize world‑class education, optimize laboratory workflows, and enhance reproducibility in life science research. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for specialists who live and breathe wetlab techniques, protocol development, experimental design, sterile technique, reagent preparation, quality control, and biosafety practices. You'll challenge advanced language models on topics like PCR and qPCR protocols, cell culture methods, nucleic acid extraction, microscopy preparations, assay standardization, troubleshooting experiments, and lab safety procedures-documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on practical lab scenarios and theoretical protocol questions, verify factual accuracy and logical workflow, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A PhD in molecular biology, microbiology, biochemistry, or a closely related life‑science field is ideal; peer‑reviewed publications, hands‑on experience in wetlab research, or clinical laboratory practice signal fit. Clear, metacognitive communication-“showing your work”-is essential. Ready to turn your wetlab protocol expertise into the knowledge base for tomorrow's AI? Apply today and start teaching the model that will teach the world. We offer a pay range of $8-to- $65 per hour, with the exact rate determined ### Machine Learning Engineer - Unify - Location: Redwood City, CA (unspecified) - Salary: Not disclosed - Posted: 2026-06-07 - Apply: https://jobs.lever.co/unify/4d45b5b9-3fb3-4e37-9213-c29ebf95be2d - Excerpt: Machine Learning Engineer Redwood City, CA About Prove (acquired UnifyID) Prove is the modern platform for continuous identity authentication and is used by over 1,000 enterprises and 500 financial institutions, including 9 of the top 10 U.S. banks. Prove's cloud solutions, and mobile intelligence-driven APIs can be easily orchestrated to increase Approve Rates to over 90%, enabling companies to authenticate customer identities accurately, effortlessly, and privately while mitigating fraud. Prove's solutions are available in 195 countries. For the latest updates from Prove, follow us on LinkedIn. About the role We are looking for a seasoned software engineer to join our A+ technical team in designing, building and deploying machine learning solutions into production. UnifyID is building a platform to solve one the world's biggest unsolved security problems in a completely novel way, requiring us to push the boundaries of what's possible in production machine learning and on mobile devices. Our data analytics platform can translate mobile sensor data from real-world human activity into a “digital fingerprint” with no conscious action from the user, all in real-time, and in a way that respects user privacy. This is an opportunity to be a part of something truly unique and game-changing. We are looking for natural-born builders who are comfortable in multiple technical areas, have creative problem-solving skills, a love for coding and technology and a “get stuff done” attitude. Your day-to-day Ideal candidates will have... ### 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 ### Applied LLM Research Engineer, Input Experience - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $147K-$272K - Posted: 2026-03-11 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200650866/applied-llm-research-engineer-input-experience?team=SFTWR - Excerpt: Applied LLM Research Engineer, Input Experience Cupertino, United States of America From our origins in iPhone keyboard input, the Input Experience NLP team has expanded our broad charter: enhancing the user experience with robust language understanding and personalized text composition, across all Apple platforms and languages. Generative AI is a transformative technology, and we are just beginning to harness its potential to help users digest information and express themselves more clearly. On our team, you will help build the future and shape its evolution. Our work has been featured in multiple WWDC keynotes including Intelligent Input in 2023, Writing Tools, Summarization, Smart Reply as part of Apple Intelligence in 2024! Building on years of innovation in intelligent systems and on-device machine learning, we are now scaling efforts in bringing powerful foundation models directly into everyday workflows. We are looking for Applied LLM Research Engineer to innovate and develop technology that brings powerful foundation models directly into everyday user workflows, across languages, writing styles, and personal context, in a privacy-preserving way. You will build, run, and refine the training and evaluation pipelines that define our slice of Apple Intelligence, driving the experimentation and iteration that makes the user experience feel magical. You will join an ambitious, collaborative team in a unique position to bridge the gap between cutting-edge ML research and features used by millions. You will work closely with cross-functional partners in human interfaces, user studies, internationalization, and system integration. You are not just developing technology; you are crafting experiences ### 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 ### Detection and Response Software Engineer | - Apple - Location: Seattle, United States of America (unspecified) - Salary: $172K-$302K - Posted: 2026-06-06 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200655126/detection-and-response-software-engineer?team=SFTWR - Excerpt: Detection and Response Software Engineer | Seattle, United States of America The Apple Services Engineering (ASE) Detection team is responsible for building advanced detections that protect approximately three-quarters of Apple's systems and services. As our detection program scales, we need sophisticated engineering solutions that enable more effective detection creation, investigation, and response. Join Apple, and help us build world-class detection and response platforms that protect billions of users. We're looking for a Detection and Response Software Engineer who is passionate about building tools and platforms that multiply the effectiveness of security teams. In this role, you'll design and implement engineering solutions that automate investigation workflows, enrich alerts with contextual data, enable rapid incident response, and leverage cutting-edge technologies including GenAI to transform how we approach detection and response. This is a software engineering role with a security mission. You'll need strong development fundamentals, experience shipping production-quality code, and the ability to work at the bleeding edge of technology. We're looking for engineers who embrace GenAI-assisted development while maintaining rigorous engineering standards and best practices. If you're excited about building platforms that empower security teams and want to shape the future of detection engineering at scale, we'd love to hear from you! As a Detection and Response Software Engineer on the ASE Detection Team, you will: Design and build engineering platforms that enable efficient detection creation, alert enrichment, automated investigation, and incident response workflows Develop automation solutions that transform raw security signals into high-fidelity, actionable alerts through correlation, enrichment, and intelligent ### Senior Scientist, Oligonucleotide Therapeutics - Insitro - Location: South San Francisco, CA (unspecified) - Salary: $156K-$176K - Posted: 2026-05-07 - 401(k) match: listed (not source-backed) - Mental health support: yes (not source-backed) - Apply: https://jobs.ashbyhq.com/insitro/95d5e54f-9dcd-4954-88a4-fd4c8443d45a - Excerpt: Senior Scientist, Oligonucleotide Therapeutics South San Francisco, CA The Opportunity At the heart of insitro's strategy is to generate multi-modal phenotypic cellular data in our automated laboratories for our cell machine learning platform and utilize high content human clinical, imaging and genetic data in our clinical machine learning platform to unlock and de-risk novel therapeutic targets for drug discovery. Our drug discovery efforts span from small molecules to oligonucleotides. We are seeking a highly motivated scientist to support our growing efforts in the oligonucleotide drug discovery space. This role will report to the head of our oligonucleotide drug discovery. In this role the candidate will get an opportunity to work across targets and therapeutic areas and will be supporting oligonucleotide drug discovery and tech dev encompassing several modalities such as siRNAs, ASOs and mRNA. The ideal candidate will be working in a highly collaborative environment with our therapeutic area scientists, AI/ML scientists, and chemists, to bring transformative medicines to patients faster. You will be joining a vibrant biotech startup that has long-term stability, with significant funding, and in a high-growth phase, and you will have many opportunities to make a significant impact. You will work closely with a very talented team, learn a broad range of skills, and help shape insitro's culture, strategic direction, and outcomes. Join us, and help make a difference to patients! This is an onsite role based in insitro's South San Francisco headquarters, coming onsite 3-4 days a week. Responsibilities - Design and optimize siRNA, antisense ### Partner Success - Inductive Bio - Location: New York City, San Francisco, or Boston, United States (unspecified) - Salary: Not disclosed - Posted: 2026-02-23 - Apply: https://jobs.ashbyhq.com/inductive-bio/6f9a391c-4783-446a-8aed-95eb569380e4 - Excerpt: Partner Success New York City, San Francisco, or Boston, United States At Inductive Bio, we're helping drug hunters find better medicines, faster, through our virtual lab and AI-enabled synthesis and testing approach. Chemists have historically relied on slow, resource-intensive design-make-test-analyze (DMTA) cycles to find molecules that are effective, safe, and viable in the human body. We're changing that with our state-of-the-art AI platform that makes every DMTA cycle as efficient and impactful as possible. Our ADMET/PK models have placed first in the world's largest AI drug discovery competition for ADMET benchmarks two years running. Most recently, outperforming 370+ submissions, including Merck + NVIDIA, and EMD Serono. We are backed by leading investors at the intersection of technology and biotechnology, and our team includes world-class technology and drug discovery experts. We've partnered with dozens of biopharma companies to expedite their highest priority drug programs. To meet the rapidly growing demand, we need to expand our go-to-market with high performing individuals. At Inductive Bio we're tackling the challenge of making drug discovery more efficient. Chemists spend countless hours combining data, expertise, and intuition to create new molecules that are effective, safe, and work well in the human body. It's a slow, complex process, and the patients are the ones left waiting. At Inductive Bio, we're building an intuitive, collaborative platform, powered by state-of-the-art AI to help accelerate this process. Our platform is already being used on dozens of active drug discovery programs, and adoption is rapidly growing. After achieving quick adoption via ### Generative AI Cloud Operations Engineer - Evinova - AstraZeneca - Location: Canada - Mississauga (unspecified) - Salary: Not disclosed - Posted: 2026-05-12 - 401(k) match: listed (not source-backed) - Apply: https://astrazeneca.wd3.myworkdayjobs.com/Careers/job/Canada---Mississauga/Generative-AI-Cloud-Operations-Engineer---Evinova_R-242030-1 - Excerpt: Generative AI Cloud Operations Engineer - Evinova Canada - Mississauga posted: Posted 30+ Days Ago ### AIML - Applied ML Engineer, Responsible AI and Safety - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $181K-$272K - Posted: 2026-02-12 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200645686/aiml-applied-ml-engineer-responsible-ai-and-safety?team=MLAI - Excerpt: AIML - Applied ML Engineer, Responsible AI and Safety Cupertino, United States of America Join a team at the forefront of defending Apple's ecosystem. We build the large-scale machine learning systems that protect millions of users from emerging threats and ensure the integrity of our products. We are looking for an experienced Applied ML Engineer who has a proven track record of shipping production models. The ideal candidate is passionate about tackling complex safety and security challenges using state-of-the-art techniques. In this role, you will design, build, and deploy the critical machine learning systems that are foundational to the safety of Apple's products, all while upholding our deep commitment to user privacy. As engineer on this team, you will own the full lifecycle of our abuse detection machine learning models. You will collaborate closely with researchers to understand the threat landscape and partner with software and product teams to deploy robust, scalable defenses. We believe the most effective security systems are built by engineers who can translate adversarial insights into production-ready code. Your work will directly contribute to the architecture of Apple's AI platform and protect users from real-world harm. Here is what you will do: * Design, build, and deploy production-grade ML models to detect and mitigate abuse across multiple modalities (text, image, audio). * Own the full ML lifecycle: from prototyping and data analysis to deployment, monitoring, and the continuous improvement of models in production. * Drive the data strategy to continuously improve model performance by analyzing distribution ### Machine Learning Engineer, Proactive - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $212K-$318K - Posted: 2026-06-03 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200622577/machine-learning-engineer-proactive?team=MLAI - Excerpt: Machine Learning Engineer, Proactive Cupertino, United States of America The AIML Information Intelligence team is creating groundbreaking technology for artificial intelligence, machine learning and natural language processing! The features we create are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. Our universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, Messages and Lookup. We also develop state-of-the-art generative AI technologies based on Large Language Models to power innovative features in both Apple's devices and services on the cloud. As part of this group, you will be doing large scale machine learning and deep learning research and development to improve Open Domain Question Answering (using both structured knowledge graph data and unstructured web data) and Summarization as well as developing fundamental building blocks needed for Artificial Intelligence. This involves developing sophisticated machine learning and large language models (LLMs) to understand user queries, retrieve and rank relevant documents across multiple sources and synthesize information across documents to provide user with a direct answer that best satisfies their intent and information seeking needs. Additionally, you will research and develop the state-of-the-art LLMs for summarizing personal data such as emails, messages, and notifications. You will also work with researchers and data scientists to develop, fine-tune, and evaluate domain specific Large Language Models for various tasks and applications in Apple's AI powered products and conduct applied research to transfer the cutting edge research in ### Machine Learning Engineer- GenAI - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $140K-$258K - Posted: 2026-02-27 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200648705/machine-learning-engineer-genai?team=OPMFG - Excerpt: Machine Learning Engineer- GenAI Cupertino, United States of America Imagine what you could do here. At Apple, we believe new insights have a way of becoming excellent products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. It takes deeply dedicated, intelligent individuals to maintain and exceed the high expectations at Apple. The Product Operations team is looking for an extraordinary engineer to join our team. You will help design and implement our machine learning strategy to the substantial supply chain and help build the future of our manufacturing systems and smarter factories. We will be collaborating and working with multi-functional teams and applying algorithms to large-scale data. Product Operations partners with a variety of different engineering and operations teams, our team leads development of machine learning solutions. We deliver projects from end-to-end: problem statement and conceptualization, proof-of-concept, and participation in final deployment! You will also perform ad-hoc statistical analyses. You will also work closely with data engineers to generate detailed business intelligence solutions. You will be expected to conduct presentations of analyses to a wide range of audiences ### Technical Support Specialist - 6Sense - Location: Pune, Maharashtra, India (unspecified) - Salary: Not disclosed - Posted: 2026-04-30 - Apply: https://boards.greenhouse.io/6sense/jobs/7818727?gh_jid=7818727 - Excerpt: Technical Support Specialist Pune, Maharashtra, India Our Mission: 6sense's mission is to multiply what matters: growth, retention, and efficiency. We envision a future where companies, teams and people reach their full potential. Our People: People are the heart and soul of 6sense. We serve with passion and purpose. We live by our Being 6sense values of Win as One Team, Stay Curious, Do The Right Thing, Own the Outcome, and Create Belonging. Every 6sensor plays a part in defining the future of our industry-leading technology. 6sense is a place where difference-makers roll up their sleeves, take risks, act with integrity, and measure success by the value we create for our customers. We want 6sense to be the best chapter of your career. Role Responsibilities - Analyse, track and resolve customer issues in a prompt manner to ensure that the highest level of client satisfaction is achieved - Analyse data using SQL / spreadsheets, and ad hoc analysis - Identify alternate solutions when necessary and communicate them to customers - Maintain a detailed understanding of product architecture, technical components and application functionality - Assist in creating training materials pertaining to product troubleshooting and usage - Set up and document troubleshooting procedures for new product features - Communicate clearly and effectively with customers, fellow support team members and the other internal teams Preferred Skills & Experience - 5-6 years customer support experience for software applications - 3+ years knowledge of and experience with SQL - Experience with MAP and CRM-Salesforce - Strong ### Cell Therapy Data and AI Productivity - AstraZeneca - Location: US - South San Francisco - CA (unspecified) - Salary: Not disclosed - Posted: 2026-05-22 - 401(k) match: listed (not source-backed) - Apply: https://astrazeneca.wd3.myworkdayjobs.com/Careers/job/US---South-San-Francisco---CA/Cell-Therapy-Data-and-AI-Productivity_R-252976 - Excerpt: Cell Therapy Data and AI Productivity US - South San Francisco - CA posted: Posted 21 Days Ago ### Machine Learning Engineer, Assessments - Speak - Location: San Francisco | Hybrid | Remote (hybrid) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.ashbyhq.com/speak/5deeef02-1cd1-4a3c-903f-8542d6afce70 - Excerpt: Machine Learning Engineer, Assessments San Francisco | Hybrid | Remote ABOUT US Our mission is to reinvent the way people learn, starting with language. Learning a language can change a life by opening doors to new cultures, careers, and communities. Two billion people around the world are actively trying to learn a language, but the best way to learn (one-on-one tutoring) is hard to access at scale and hasn't been meaningfully improved in decades. Speak is building a human-level, AI-powered tutor in your pocket: a conversation-first experience that lets learners actually speak, get instant feedback, and progress through carefully designed lessons. The result is a complete path from beginner to confident speaker across multiple languages. Speak first launched in South Korea in 2019, where Speak has now become the number one language learning app, and we now serve learners across many markets and 15+ languages. Speak is one of the world's leading AI companies, with over $150m raised in venture investment from OpenAI, Accel, Founders Fund, Khosla Ventures, and more, with a distributed team across San Francisco, Seoul, Tokyo, Taipei, and Ljubljana. ABOUT THIS ROLE We're hiring an ML Engineer, Assessments to help build best-in-class assessment systems across multiple products (Speak for Business, B2C, and new surfaces). You will work in a tight loop with our Assessment Design Lead (Content/Learning Design), Machine Learning, Product, and Engineering to turn assessment constructs and rubrics into reliable, scalable scoring + feedback systems. This role owns the implementation, deployment, and ongoing quality of our ### AIML - Machine Learning Engineer, Foundation Models - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $181K-$318K - Posted: 2025-09-03 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200618377/aiml-machine-learning-engineer-foundation-models?team=MLAI - Excerpt: AIML - Machine Learning Engineer, Foundation Models Cupertino, United States of America Apple is revolutionizing artificial intelligence by developing sophisticated foundation models that power intelligent features across our product ecosystem. We're seeking skilled Machine Learning Engineers to transform cutting-edge research into scalable, production-ready AI solutions. We are looking for engineers who are passionate about building systems that push the frontier of deep learning in terms of scaling, efficiency, and flexibility and delight millions of users in Apple products. We build frontier foundation models that power intelligent experiences at Apple. Our team works across the full training lifecycle: including pre-training foundation models, and developing mid-training approaches that bridge general capability and task-specific performance. What makes our work distinct is that we're engineering models specifically for Apple silicon and optimized for experiences that are private, personal, and deeply integrated into the OS. We're solving frontier problems in reward modeling to resist reward hacking, handling sparse and delayed rewards in agentic settings, and aligning models reliably across the spectrum from open-ended creative tasks to precise, action-taking workflows. If you're drawn to hard problems where the research and the product are inseparable, this is the team. Design and implement scalable, reliable and high-performance machine learning infrastructure for foundation models across text, image, speech, and multi-modal domains Collaborate with other teams to productionize state-of-the-art AI algorithms Optimize models for performance, efficiency, and on-device intelligence Implement machine learning systems with stringent privacy and security requirements May also be required to manage a small team of engineers. ### Detection and Response Engineer, New Grad (2026) - Benchling - Location: San Francisco, CA | Hybrid | Remote (hybrid) - Salary: Not disclosed - Posted: 2026-06-07 - 401(k) match: listed (not source-backed) - Apply: https://jobs.ashbyhq.com/benchling/5cd7777c-e419-4328-b5a0-80921d035427 - Excerpt: Detection and Response Engineer, New Grad (2026) San Francisco, CA | Hybrid | Remote We are rebuilding biotech for the AI era. When a breakthrough is delayed, the world waits. Getting a molecule from discovery to patients, or a crop from lab to field, involves thousands of slow, manual, disconnected steps. AI has the potential to change this, compressing decades of R&D work into years. But that only happens when clean, structured scientific data and AI are built into how science gets done. Benchling is the AI platform for biotech R&D. Scientists use Benchling to design experiments, capture structured data, and run AI agents and models directly in their workflows. Over 200,000 scientists around the world trust Benchling to power their most important work, from academic labs to Sanofi, Moderna, and more than half of the world's top 50 biopharma. We're building an AI scientist for our customers. We can't do that if we haven't built the muscle ourselves. AI fluency is the foundation we build on; it's core to how we work, and we're committed to helping every new hire integrate it into their day-to-day. As part of our interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today. ROLE OVERVIEW As a Security Response Engineer at Benchling you'll be joining a team responsible for building a best-in-class security program ### Sr. Software Engineer (Backend) - 6Sense - Location: Bengaluru, Karnataka, India (unspecified) - Salary: Not disclosed - Posted: 2026-03-12 - Apply: https://boards.greenhouse.io/6sense/jobs/7707011?gh_jid=7707011 - Excerpt: Sr. Software Engineer (Backend) Bengaluru, Karnataka, India Our Mission: 6sense's mission is to multiply what matters: growth, retention, and efficiency. We envision a future where companies, teams and people reach their full potential. Our People: People are the heart and soul of 6sense. We serve with passion and purpose. We live by our Being 6sense values of Win as One Team, Stay Curious, Do The Right Thing, Own the Outcome, and Create Belonging. Every 6sensor plays a part in defining the future of our industry-leading technology. 6sense is a place where difference-makers roll up their sleeves, take risks, act with integrity, and measure success by the value we create for our customers. We want 6sense to be the best chapter of your career. Job Title : Senior Software Engineer (Backend) Location : Bengaluru, IN About the Role : As a Senior Software Engineer, you'll join a dynamic team responsible for building scalable, robust, and fault-tolerant backend systems. This is a high-impact role where you'll work on critical projects that drive platform scalability, optimize performance, and improve system reliability for a global customer base. You will collaborate with cross-functional teams and have the opportunity to work on cutting-edge technologies while solving complex challenges. Your contributions will be instrumental in ensuring 6sense delivers seamless customer experiences. What will you own : - Build Scalable Systems: Design, develop, and maintain APIs and microservices capable of processing millions of daily data requests and emails. - Optimize Performance: Enhance system reliability and ensure low-latency, high-availability ### Head of Translational Biology - Earli - Location: Redwood City, CA (unspecified) - Salary: $215K-$235K - Posted: 2026-01-21 - Apply: https://www.earli.com/application?gh_jid=5765861004 - Excerpt: Head of Translational Biology Redwood City, CA Earli is a BioAI therapeutics firm in Redwood City, California that programs cancer to turn against itself. Cancer cells become hyperlocal factories for potent immune therapies that are otherwise too toxic to be used systemically . Earli AI-designs synthetic genetic switches that are intravenously injected but ONLY activate in cancer cells, using non-integrating DNA in a stealth LNP. Once activated, they force the cancer cells to produce encoded proteins - T cell engagers, cytokines, agonists - that activate the immune system to kill the cancer. The hyperlocal activation avoids on-target/off-tumor effects and drives up the therapeutic index. Instead of focusing on where the drug goes , Earli changes where the drug is produced . Who You Are - You share our same sense of dedication, scientific passion and entrepreneurial spirit - You work well in a fast-paced and extremely focused startup environment - You are not only smart, but clever and constantly think outside the box - You are able to make logical decisions in an instant when there is little time to evaluate - You are a natural communicator and relationship builder - You stay calm under high pressure and stress - You have the ability to multi-task in a serious way, with an extreme attention to detail - You become a representative of the core DNA of the company through who you are The Position Earli is currently seeking a Head of Translational Biology to oversee and lead the translational/in vivo ### Biology Specialist - Freelance AI Trainer Project - Agency - Location: United States of America (unspecified) - Salary: $8-$65/hr - Posted: 2026-06-07 - Apply: https://job-boards.eu.greenhouse.io/agency/jobs/4644647101 - Excerpt: Biology Specialist - Freelance AI Trainer Project United States of America Are you a biology expert eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high‑quality training data, tomorrow's AI can democratize world‑class education, keep pace with cutting‑edge research, and streamline lab work for scientists everywhere. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for biology specialists who live and breathe cell biology, molecular biology, genetics, physiology, ecology, evolutionary biology, immunology, neurobiology, developmental biology, and biochemistry. You'll challenge advanced language models on topics like signal transduction, gene expression, protein folding, microscopy techniques, cloning methods, CRISPR and genome editing, laboratory protocols, biosafety procedures, and the role of biological systems in health and disease-documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on lab scenarios and theoretical biology questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A PhD in biology or a closely related life‑science field is ideal; peer‑reviewed publications, wet‑lab or field research, or hands‑on laboratory diagnostics projects signal fit. Clear, metacognitive communication-“showing your work”-is essential. Ready to turn your biology expertise into the knowledge base for tomorrow's AI? Apply today and start teaching the model that will teach the world. We offer a pay range of $8-to- $65 per hour, with the ### Machine Learning Engineer, ASE Search Team - Apple - Location: San Francisco, United States of America (unspecified) - Salary: $147K-$272K - Posted: 2026-06-11 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200668044/machine-learning-engineer-ase-search-team?team=MLAI - Excerpt: Machine Learning Engineer, ASE Search Team San Francisco, United States of America The Apple Services Engineering AI/ML organization is hiring a Machine Learning Engineer to join the Search team for Video catalog. Our team builds the core intelligence that powers search discovery experiences in the Apple TV App, Siri, and Spotlight cross platforms, helping users effortlessly find and enjoy the content they love. We are a collaborative, high-impact team that values innovation, craftsmanship, and end-to-end ownership from idea to launch. Our systems combine large-scale data, modern retrieval and ranking models, and a deep commitment to user privacy. Join us, you'll develop scalable systems and machine learning models that drive search relevance, personalization, and understanding of content at scale. Working closely with cross-functional partners in product and design, you'll translate cutting-edge research in advanced machine learning and generative AI into secure and delightful production features used by millions every day. As a Machine Learning Engineer on the Video Search team, within the Apple Services Engineering AI/ML organization, you will design and deploy large-scale ML systems that power search and discovery across Apple platforms. You'll apply machine learning, natural language understanding, and generative AI to model user intent and deliver relevant, personalized results. Your work will involve building and optimizing cutting edge data processing, ML models, retrieval pipelines, and ranking systems that operate at global scale and under strict privacy standards. This is a hands-on role where you will collaborate closely with cross-functional teams to bring advanced ML technologies into production-shaping how ### Scientist I/II, mRNA Translation Dynamics - Lila Sciences - Location: Cambridge, MA USA (unspecified) - Salary: $108K-$170K - Posted: 2026-04-09 - Learning budget: yes (not source-backed) - Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4204230009 - Excerpt: Scientist I/II, mRNA Translation Dynamics Cambridge, MA USA Your Impact at LILA We are seeking a curious, driven, and collaborative Scientist to join our discovery platform team focused on decoding mRNA translation dynamics. You will develop workflows that utilize next-generation pooled screening strategies like polysome profiling and Ribo-seq to to generate rich biological datasets that feed directly into Lila's machine learning models. This is a unique opportunity to help invent a new approach to biological discovery by integrating synthetic biology, high-throughput experimentation, and intelligent automation. What You'll Be Building - Design and execute high-throughput pooled screening campaigns to interrogate mRNA translation dynamics across diverse sequence and structural contexts - Develop and optimize cell-free and in-cell assay systems for quantitative measurement of translation efficiency, kinetics, and regulation across different cell environments - Collaborate closely with computational and ML teams to define data requirements, validate model predictions, and close the loop between experiment and prediction - Establish and refine next-generation library design strategies, leveraging combinatorial and rational approaches to explore sequence space efficiently - Analyze and interpret complex biological datasets, distilling key findings into actionable insights for platform advancement - Contribute to the development of automated and semi-automated experimental pipelines to increase throughput and consistency What You'll Need to Succeed - MSc with 4+ years of industry or academic experience, or PhD in a relevant field (molecular biology, bioengineering, synthetic biology, chemical biology, etc.) - Deep expertise in mRNA biology and translation regulation - Experience with next-generation sequencing based assays of mRNA ### Security SWE - Cerebras Systems - Location: Sunnyvale CA or Toronto Canada (unspecified) - Salary: Not disclosed - Posted: 2026-03-11 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/7647319003 - Excerpt: Security SWE Sunnyvale CA or Toronto Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role As a frontend engineer on our AI cloud, you will work on our customer-facing inference, training, and admin consoles and API experiences. In this role, you will be responsible for designing and building responsive, user-friendly frontend interfaces that provide an optimal experience for our developers, handling high traffic and throughput efficiently. Your familiarity with the latest web development frameworks and best practices, coupled with a keen eye for design and user experience, will drive team success. We're looking for talented software engineers ### Machine Learning Engineer, Chakra - HackerRank - Location: Hybrid in Santa Clara, CA (hybrid) - Salary: $120K-$235K - Posted: 2026-04-09 - Apply: https://job-boards.greenhouse.io/hackerrank/jobs/7793399 - Excerpt: Machine Learning Engineer, Chakra Hybrid in Santa Clara, CA HackerRank helps companies like NVIDIA, Amazon, and Microsoft hire and upskill the next generation of developers based on skills, not pedigree. Our platform is trusted by over 2,500 of the world's most innovative companies to build strong engineering teams ready for what's next. Software has entered an era where humans and AI build side by side. As this shift accelerates, the definition of strong technical talent is changing. We give companies better ways to identify and invest in next-generation skills. People at HackerRank care deeply about the impact of their work and sweat the small details so our customers can be wildly successful with products they genuinely love to use. We move with urgency and believe great outcomes come from high standards. About the role The developer's job is shifting from writing code to directing AI agents, and hiring needs to catch up. HackerRank has shaped how 3000+ companies identify engineering talent, with 30M+ developers assessed on our platform. Chakra is our bet on what the next generation of that looks like: an AI interviewer built for a world where the interview itself has to be as intelligent as the candidates it is evaluating. Open Problem An interview that thinks, listens and gets it right every time. Running an interview is easy. Running a good one is hard. Chakra is an AI interviewer. It holds a conversation with a candidate, asks follow-up questions, evaluates how they think, and produces a report ### Transcription / Subtitling Specialist (Freelance) - ElevenLabs - Location: Germany, India, Brazil, Spain, France, Portugal, Mexico, Japan, Poland, Netherlands, Korea, United States, United Kingdom, Sweden, Bulgaria, Denmark (unspecified) - Salary: Not disclosed - Posted: 2025-04-24 - Apply: https://jobs.ashbyhq.com/elevenlabs/ef0a1e14-40ee-43d2-aab9-59fc9f6a4b8c - Excerpt: Transcription / Subtitling Specialist (Freelance) Germany, India, Brazil, Spain, France, Portugal, Mexico, Japan, Poland, Netherlands, Korea, United States, United Kingdom, Sweden, Bulgaria, Denmark About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - AI first: We use AI to move faster with higher-quality results. We do this across ### Staff Machine Learning Engineer - Apple - Location: Seattle, United States of America (unspecified) - Salary: $201K-$302K - Posted: 2026-04-22 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200645408/staff-machine-learning-engineer?team=SFTWR - Excerpt: Staff Machine Learning Engineer Seattle, United States of America Join a team at the forefront of ML infrastructure and generative AI, where data and model workflows come together to enable the next generation of intelligent experiences on Apple products and services. We build robust systems that connect scalable data pipelines with advanced ML workflows, accelerating the development of real-world AI applications. Our work spans the full ML lifecycle, from experimentation to deployment, and you'll play a key role in shaping how AI models are built, optimized, and scaled. We develop a platform for ML data and features that powers advanced GenAI applications. This includes embeddings (generation, evaluation, ANN search, multimodal support), AI Ops, efficient inference, and a modern feature platform designed to streamline experimentation and drive innovation. We're looking for engineers and researchers passionate about generative models, data-centric ML, and intelligent systems across diverse real-world use cases. With the autonomy to experiment, the scale to make an impact, and the support to take ideas from prototype to production, you'll work alongside a world-class team to build intelligent, flexible systems that make ML development faster, more reliable, and more creative. The Apple Cloud AI Platform team enables Apple's next generation of intelligent products by giving Apple's ML engineers and researchers the data systems and large-scale compute they need to build and ship models at Apple's bar for quality and privacy. As a member of the Apple Cloud AI Platform team, your responsibilities will include: Design and build the platform behind Apple's ### Machine Learning Video Processing Engineer - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $127K-$191K - Posted: 2024-12-23 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200584872/machine-learning-video-processing-engineer?team=HRDWR - Excerpt: Machine Learning Video Processing Engineer Cupertino, United States of America Imagine the impact you can make. A billion users will use the technologies you helped craft almost daily. At Apple you will have the opportunity to work on products that are always leaders in the industry and occasionally change the world! This group at Apple is responsible for creating the image/video core technologies used in almost all Apple products and services. We are looking for a highly self-motivated and enthusiastic engineer who is able to excel in a technically challenging environment to fill in the position of machine learning video processing engineer. In this role you will work with Apple engineers in a dynamic team developing machine learning based image/video processing technologies for current and future Apple products. This position requires a highly self-directed engineer with strong creative and analytic skills and passion for video processing and compression technologies. Your responsibilities include but not limited to: - Develop, implement, and optimize machine learning based video processing algorithms that work well in the resource-constrained environments. - Work on data collection and pre-processing for training/testing/validation. - Investigate the latest learning-based low-level vision technologies and tasks. Minimum Qualifications: Masters degree in Computer Science, Electrical Engineering, or related major. Familiar with Signal Processing, Machine Learning, CPU architecture, and Operating System. Python, Java, or C/C++ programming skills. Preferred Qualifications: Experience with performance (power and speed) optimization: GPGPU SIMD programming. Knowledge of deploying neural network to hardware. Experience with multithread NEON / SIMD. Experience with GPU ### Software Engineer - Voice AI (Inference Runtime) - Baseten - Location: San Francisco, California, United States, New York (unspecified) - Salary: Not disclosed - Posted: 2026-04-23 - Fertility benefits: yes (not source-backed) - Apply: https://jobs.ashbyhq.com/baseten/6e396eb7-acb3-436a-89ec-05e755c477f2 - Excerpt: Software Engineer - Voice AI (Inference Runtime) San Francisco, California, United States, New York ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E , backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products. THE ROLE: Voice is becoming the internet's next interface, but a production-grade Voice AI system is "hard to build" . You'll join a small founding team of Baseten Voice AI, focused on bringing state-of-the-art open source models into production for Voice AI customers across productivity, customer service, clinical conversation, creator tools, education, and more. You'll make a meaningful impact on people's daily lives and help reshape these industries. This is a high-impact, high-ownership role. You will be the primary owner of Baseten Voice AI - our in-house inference stack to power Voice AI models - from product roadmap through engineering implementation. You'll partner closely with Forward Deployed Engineers, Model Performance Engineers, and sister engineering teams to push the boundaries of Voice AI. EXAMPLE INITIATIVES: - Develop world-class model serving stack for state-of-the-art open-source voice models - reduce end-to-end and tail latency (p95/p99), increase throughput, and improve GPU efficiency via profiling, runtime tuning, ### Detection and Response Engineer - Benchling - Location: Remote, US | Remote (remote) - Salary: Not disclosed - Posted: 2026-06-07 - 401(k) match: listed (not source-backed) - Apply: https://jobs.ashbyhq.com/benchling/67a6b367-326d-409f-acc1-40961a6d24d4 - Excerpt: Detection and Response Engineer Remote, US | Remote We are rebuilding biotech for the AI era. When a breakthrough is delayed, the world waits. Getting a molecule from discovery to patients, or a crop from lab to field, involves thousands of slow, manual, disconnected steps. AI has the potential to change this, compressing decades of R&D work into years. But that only happens when clean, structured scientific data and AI are built into how science gets done. Benchling is the AI platform for biotech R&D. Scientists use Benchling to design experiments, capture structured data, and run AI agents and models directly in their workflows. Over 200,000 scientists around the world trust Benchling to power their most important work, from academic labs to Sanofi, Moderna, and more than half of the world's top 50 biopharma. We're building an AI scientist for our customers. We can't do that if we haven't built the muscle ourselves. AI fluency is the foundation we build on; it's core to how we work, and we're committed to helping every new hire integrate it into their day-to-day. As part of our interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today. ROLE OVERVIEW As a Detection and Response Engineer at Benchling you'll be joining a team responsible for building a best-in-class security program from the ground up. Our ### Senior Detection Creation Engineer - Apple - Location: Seattle, United States of America (unspecified) - Salary: $172K-$302K - Posted: 2026-03-30 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200654441/senior-detection-creation-engineer?team=SFTWR - Excerpt: Senior Detection Creation Engineer Seattle, United States of America The people here at Apple don't just craft products - they build the kind of wonder that revolutionizes entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, including our approach to security. Join Apple, and help us protect the services that billions of customers rely on every day. The Detection team within Apple Services Engineering (ASE) is responsible for building advanced detections that protect approximately three-quarters of Apple's systems and services. We achieve this by partnering closely with engineering teams to develop a deep technical understanding of how these systems operate, along with a comprehensive grasp of the threat landscape. This allows us to build state-of-the-art security detections that proactively defend against real-world attacks. We're looking for a Detection Creation Engineer who combines deep security intuition with technical implementation skills. In this role, you'll craft detection logic that catches active malicious activity across Apple's infrastructure. You'll need to think like an attacker, understand how malicious behaviors manifest in telemetry data, and translate that knowledge into high-fidelity detections that protect our customers. This is a hands-on technical role where you'll write detection code in Scala Spark (Databricks notebooks) and configuration files for on-host detection systems (such as Falco rules). While we don't require prior Scala experience, we do expect strong programming fundamentals and the curiosity to dive deep into new technologies. If you're passionate about understanding attacker tradecraft and translating ### Synthetic Biology Specialist - Freelance AI Trainer Project - Agency - Location: United States of America (unspecified) - Salary: $8-$65/hr - Posted: 2026-06-07 - Apply: https://job-boards.eu.greenhouse.io/agency/jobs/4645503101 - Excerpt: Synthetic Biology Specialist - Freelance AI Trainer Project United States of America Are you a master of synthetic biology eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high‑quality training data, tomorrow's AI can democratize world‑class education, accelerate bioengineering research, and enable innovative applications in medicine, agriculture, and industry. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for specialists who live and breathe synthetic biology, genetic circuit design, metabolic engineering, genome editing (CRISPR/Cas systems), systems biology, biomanufacturing, and computational modeling. You'll challenge advanced language models on topics like gene synthesis, chassis organism optimization, promoter and ribosome binding site tuning, pathway assembly, biosafety and ethical considerations, and emerging technologies-documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on lab workflows and theoretical synthetic biology questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A PhD in synthetic biology, molecular biology, bioengineering, or a closely related life‑science field is ideal; peer‑reviewed publications, hands‑on experience with synthetic biology techniques, or work in industrial or academic bioengineering labs signal fit. Clear, metacognitive communication-“showing your work”-is essential. Ready to turn your synthetic biology expertise into the knowledge base for tomorrow's AI? Apply today and start teaching the model that will teach the world. We offer a pay range ### Senior Research Associate- NGS - Volta Labs, Inc. - Location: Seaport District, Boston, MA (unspecified) - Salary: Not disclosed - Posted: 2026-06-10 - Apply: https://jobs.lever.co/voltalabs/a2823aa6-ee85-4750-8b0e-0e456050e380 - Excerpt: Senior Research Associate- NGS Seaport District, Boston, MA ABOUT US: Volta Labs is an applications company that is revolutionizing the future of genomics. We are a Boston based, venture-backed biotech startup that makes extracting vital information from biological samples is as simple as pressing a button, through our flagship product Callisto. Our product speeds up processing time for scientists and increases accessibility to important genetic information for patients. Sitting at the intersection of science and engineering, we invite you to join us on our journey to shape the future of genomics, where insatiable curiosity is encouraged and every Voltarian makes an impact. THE TEAM: You'll join a team of innovative thinkers who love to experiment, collaborate, and win together. We are passionate about pushing the boundaries of automation, biology, computing, robotics, design, and user experience to benefit our customers and the world. Reporting to a Senior Scientist on the team, you will participate in the design and development of genomics sample prep applications. Volta is building a suite of genomics applications for its disruptive digital fluidics sample prep automation platform. We are seeking an energetic, detail-oriented and collaborative individual with a desire to learn and participate in product development in an industry setting. Beyond executing established protocols, this role is ideal for someone who enjoys tinkering-asking why things work the way they do, experimenting thoughtfully, and improving workflows from first principles. You'll encounter day-to-day experimental and operational challenges where curiosity, creativity, and practical problem-solving matter as much as prior experience. ### Senior Machine Learning Engineer, AdTech - Nexxen International - Location: New York, NY | [Remote] | Remote (remote) - Salary: Not disclosed - Posted: 2026-06-04 - Apply: https://jobs.ashbyhq.com/nexxen/e42cb0a4-e44c-4305-970b-6260ad466c6a - Excerpt: Senior Machine Learning Engineer, AdTech New York, NY | [Remote] | Remote ### Staff Machine Learning Engineer - BloomReach - Location: India (unspecified) - Salary: Not disclosed - Posted: 2026-03-23 - Parental leave: 26 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Mental health support: yes (not source-backed) - Apply: https://job-boards.greenhouse.io/bloomreach/jobs/7741891 - Excerpt: Staff Machine Learning Engineer India Bloomreach is building the world's premier agentic platform for personalization .We're revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the entire customer journey. - We're taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses. - We're making conversational shopping a reality, connecting every shopper with tailored guidance and product expertise - available on demand, at every touchpoint in their journey. - We're designing the future of autonomous marketing , taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do. And we're building all of that on the intelligence of a single AI engine - Loomi AI - so that personalization isn't only autonomous…it's also consistent.From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora. Bloomreach is seeking a seasoned Staff Machine Learning Engineer to own the design and implementation of cutting-edge AI and GenAI driven algorithmic components for search, recommendation and behavioral insights that are used to personalize digital experiences for our customers. Our centralized data science team spanned across multiple geographies, is responsible for the data science modules that power all the products of the company, including Search Relevance, Recommendation, User Personalization, User Segmentations, Content Intelligence and Conversational Commerce. We invent and apply machine learning, data ### Machine Learning Engineer / Scientist - Until - Location: Bay Area (unspecified) - Salary: Not disclosed - Posted: 2025-11-25 - Apply: https://jobs.lever.co/until/b953a7f9-3024-43c2-abed-45cf5a91ddd3 - Excerpt: Machine Learning Engineer / Scientist Bay Area Until is a moonshot company building a “pause button” for biology. Our near-term focus is organ-scale reversible cryopreservation: preserving donated organs at subzero temperatures without ice formation, then rewarming them uniformly for transplant. By solving this grand challenge, we're laying the foundation for whole-body reversible cryopreservation, giving patients a bridge to future cures. To achieve our goal, we are assembling an interdisciplinary team to develop perfusion systems, cryoprotectant formulations, and vitrification and rewarming hardware. We are also building out our medical hibernation team to tackle the challenges of whole-body cryopreservation, beginning with rodent models. We envision a future where no transplantable organ is lost to logistics, and no terminal diagnosis is final because patients can safely wait for future medicine to arrive. About the Role As a Machine Learning Engineer / Scientist at Until, you will be an early member of the computational team defining how experimental data becomes insight and drives the next round of scientific discovery. You'll build high-leverage ML systems that help develop new cryoprotectant formulations, engineer biologically-inspired antifreeze proteins, and understand the physics of vitrification and rewarming. You will own projects end-to-end including shaping data collection and designing data pipelines, training and evaluating models, and deploying tooling that scientists use daily. Until is a moonshot company building a “pause button” for biology. Our near-term focus is organ-scale reversible cryopreservation: preserving donated organs at subzero temperatures without ice formation, then rewarming them uniformly for transplant. By solving this grand challenge, ### Principal ML Research Engineer - Lila Sciences - Location: San Francisco, CA USA (unspecified) - Salary: Not disclosed - Posted: 2026-05-15 - Apply: https://job-boards.greenhouse.io/lilasciences/jobs/4248820009 - Excerpt: Principal ML Research Engineer San Francisco, CA USA Your Impact at LILA Lila is building a platform where AI and automation co-evolve to solve the hardest problems in science. Within Life Science AI (LSAI), we are launching a new AI for Cell Biology team to develop autonomous-science capabilities for cellular and tissue biology, spanning single-cell omics, perturbation biology, spatial profiling, imaging, genetics, and multi-modal experimental data; that integrate deep biological expertise with foundation modeling and agentic systems. We are seeking a Principal ML Research Engineer to be the founding engineering leader on this team . This is a 0→1 hands-on role. You will build and operate the engineering platform : domain data, domain-specific models, shared specialist-model serving and inference, agentic infrastructure, and the evaluation harness that the team's research programs run on, and that integrates cell-biology research with Lila's central autonomous-science platform: it's core-model, agentic-systems, and experimental-automation infrastructure that closes the loop between AI reasoning and the lab. You will work closely with Lila's central AI Platform, Data Platform, and autonomous-lab engineering teams to leverage and extend core Lila infrastructure rather than rebuild it , and you will co-develop the technical direction of the team with the VP of AI for Cell Biology and its ML Scientists as you build. Cell- and tissue-scale biology sits at an open frontier of AI for science. The field has produced strong specialist models across sub-domains: single-cell foundation models, molecular structural prediction, perturbation response, cellular imaging, pathway and ligand-receptor inference - but the engineering ### SDE-II, AI Core Infra - AI Analytics and Insights - Amazon - Location: Bengaluru, Karnataka, IND (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) - 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/10435578/sde-ii-ai-core-infra-ai-analytics-and-insights - Excerpt: SDE-II, AI Core Infra - AI Analytics and Insights Bengaluru, Karnataka, IND Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising solutions that drive product discovery and sales. We deliver billions of ad impressions every single day on behalf of our advertisers and generate massive volumes of data across the advertising lifecycle. We are building a conversational AI assistant that empowers data engineers, analysts, and business stakeholders to interact with our vast advertising data lake through natural language. Using state-of-the-art generative AI, SpektrBot enables teams to generate insights faster by translating natural language queries into accurate, trusted data retrievals, eliminating the friction between questions and answers. As an SDE II on this team, you will be at the center of designing, building, and scaling the systems that power this conversational AI experience. You will architect robust backend services, build reliable integrations with large language models (LLMs), develop retrieval-augmented generation (RAG) pipelines, and engineer the feedback loops that allow our system to continuously evaluate and improve itself. You will work alongside applied scientists, product managers, and fellow engineers in a fast-paced, high-ownership environment where your contributions directly shape the product and influence how thousands of internal customers interact with data. This is a rare opportunity to build a 0-to-1 product at Amazon's scale, one that sits at the intersection of generative AI, data engineering, and conversational interfaces. If you are passionate about building production-grade AI-powered systems, thrive in ambiguity, ### Staff Machine Learning Platform Engineer, AI Evaluation - Apple - Location: Seattle, United States of America (unspecified) - Salary: $201K-$302K - Posted: 2026-04-21 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200659247/staff-machine-learning-platform-engineer-ai-evaluation?team=MLAI - Excerpt: Staff Machine Learning Platform Engineer, AI Evaluation Seattle, United States of America Join Apple Services Engineering to build the next generation of AI evaluation systems. We are seeking a staff machine learning platform engineer to lead the architectural design and development of the high availability services and internal tools powering self-service evaluation at scale. You will partner with researchers to operationalize their innovations, transforming complex workflows into intuitive, developer-first platforms. We are looking for builders who thrive in the ambiguity of new initiatives and are passionate about creating scalable infrastructure. We're building the evaluation platform that will serve all of Apple's generative AI and agent systems. This is early-stage work - some scrappy components exist, much is greenfield and we need a staff engineer who can take it from here to org-wide self-service scale. This is not a "maintain the infra" role. You'll make consequential decisions about what to build, what to integrate, and what to say no to then ship it in Python with a small team. Platform architecture & delivery: Own the technical direction for our evaluation platform. Design and build the APIs, SDKs, and orchestration services that turn research-grade evaluation methodology into self-service building blocks other teams ship on top of. You'll start scrappy and intentionally, with line of sight to the scaled version. Productionize ML research: Partner directly with research engineers to assess their code and determine what can be rewritten into clean Python services vs. what requires infrastructure changes (Ray, GPU compute, distributed scheduling). Build ### 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 ### Senior Scientist, Bio AI - Earli - Location: Redwood City, CA (unspecified) - Salary: $205K-$235K - Posted: 2026-03-12 - Apply: https://www.earli.com/application?gh_jid=5823448004 - Excerpt: Senior Scientist, Bio AI Redwood City, CA Earli is a BioAI therapeutics firm in Redwood City, California that programs cancer to turn against itself. Cancer cells become hyperlocal factories for potent immune therapies that are otherwise too toxic to be used systemically . Earli AI-designs synthetic genetic switches that are intravenously injected but ONLY activate in cancer cells, using non-integrating DNA in a stealth LNP. Once activated, they force the cancer cells to produce encoded proteins - T cell engagers, cytokines, agonists - that activate the immune system to kill the cancer. The hyperlocal activation avoids on-target/off-tumor effects and drives up the therapeutic index. Instead of focusing on where the drug goes , Earli changes where the drug is produced . Who You Are - You share our same sense of dedication, scientific passion and entrepreneurial spirit - You work well in a fast-paced and extremely focused startup environment - You are not only smart, but clever and constantly think outside the box - You are able to make logical decisions in an instant when there is little time to evaluate - You are a natural communicator and relationship builder - You stay calm under high pressure and stress - You have the ability to multi-task in a serious way, with an extreme attention to detail - You become a representative of the core DNA of the company through who you are The Position Earli Inc. is currently seeking a top caliber Senior Scientist, Bio AI to join our Synthetic ### On-Device ML Compiler Engineer, Model Compilation, Graphics, Games and Machine Learning - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $147K-$272K - Posted: 2026-03-27 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200631247/on-device-ml-compiler-engineer-model-compilation-graphics-games-and-machine-learning?team=MLAI - Excerpt: On-Device ML Compiler Engineer, Model Compilation, Graphics, Games and Machine Learning Cupertino, United States of America Imagine being at the forefront of an evolution where innovative AI meets the elegance of Apple silicon. The On-Device Machine Learning team transforms groundbreaking research into practical applications, enabling billions of Apple devices to run powerful AI models locally, privately, and efficiently. We stand at the unique intersection of research, software engineering, hardware engineering, and product development, making Apple the leading destination for machine learning innovation. Our team builds the essential infrastructure that enables machine learning at scale on Apple devices. This involves onboarding innovative architectures to embedded systems, developing optimization toolkits for model compression and acceleration, building ML compilers and runtimes for efficient execution, and creating comprehensive benchmarking and debugging toolchains. This infrastructure forms the backbone of Apple's machine learning workflows across Camera, Siri, Health, Vision, and other core experiences, contributing to the overall Apple Intelligence ecosystem. If you are passionate about the technical challenges of running sophisticated ML models across all devices, from resource-constrained devices to powerful clusters, and eager to directly impact how machine learning operates across the Apple ecosystem, this role presents a great opportunity to work on the next generation of intelligent experiences on Apple platforms. Our group is looking for an ML Infrastructure Engineer, with a focus on model compilation. The role entails working closely with model authoring, runtime, and performance teams to ensure that models can bring to bear the full capabilities of the hardware. We're building ### 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 ### Senior Project Manager, AI Biology & Translation - Genentech, Inc. - Location: South San Francisco, California, United States of America (unspecified) - Salary: Not disclosed - Posted: 2026-05-29 - 401(k) match: listed (not source-backed) - Apply: https://roche.wd3.myworkdayjobs.com/ROG-A2O-GENE/job/South-San-Francisco/Senior-Project-Manager--AI-Biology---Translation_202605-113442-1/apply - Excerpt: Senior Project Manager, AI Biology & Translation South San Francisco, California, United States of America Join our team as a Senior Project Manager, AI Biology & Translation and drive cross-functional initiatives in a dynamic, innovative environment. Leverage your expertise in project management and stakeholder collaboration to accelerate scientific discovery and deliver impactful results in the life sciences sector. Shape the future of healthcare with us. ### Security Engineer, Detection and Response - Serval - Location: San Francisco, California, United States (unspecified) - Salary: Not disclosed - Posted: 2026-06-11 - Apply: https://jobs.ashbyhq.com/serval/5250c679-d490-407e-bd2e-b8b160c62aac - Excerpt: Security Engineer, Detection and Response San Francisco, California, United States Who We Are Serval is an AI-native automation platform transforming how enterprises operate. We build intelligent agents that understand real-world workflows and execute them end-to-end - replacing manual processes and rigid legacy systems with adaptive, learning software. Founded in early 2024, Serval is already trusted by companies like Fox, Notion, Perplexity, Vercel, and Brex to automate high-volume, high-friction operational work across their organizations. At the core of Serval is an agentic AI platform that turns natural language into production-grade workflows. Our agents don't just respond to requests - they reason, take action across systems, and continuously improve with usage. What began with operational use cases has quickly evolved into a horizontal AI automation layer used across IT, HR, Finance, Security, Legal, and Engineering. Our mission is to eliminate repetitive, manual work across the enterprise and give teams leverage through intelligent automation. Long term, we're building the universal AI operations layer - a system of agents that sits across business functions and runs the workflows that keep modern companies moving. We're backed by leading investors including Sequoia Capital, Redpoint Ventures, Meritech, First Round, General Catalyst, Elad Gil, and others. Role Overview As Detection and Response Lead, you'll build and scale the foundations of Serval's cybersecurity detection and response operations. You will set the strategy and drive execution for security monitoring, incident response, recovery, and post-incident improvement across our infrastructure and the systems our customers trust us to operate in. You'll be ### Machine Learning Engineer - Incode Technologies - Location: Spain (unspecified) - Salary: Not disclosed - Posted: 2025-10-13 - Apply: https://job-boards.greenhouse.io/incode/jobs/5676984004 - Excerpt: Machine Learning Engineer Spain POWER A WORLD OF TRUST Incode is the leading provider of world-class identity solutions that is reinventing the way humans authenticate and verify their identities online to power a world of digital trust. Through our revolutionary identity solutions, we are unleashing the business potential of universal industries including finance, government, retail, hospitality, gaming, and more, by reducing fraud and transforming human interactions with data, products, and services. We're in the process of rapidly scaling our diverse global team and we're looking for entrepreneurial individuals and leaders who are curious, driven, and excited by ownership to join a Unicorn-status scale-up! About Incode Incode is a Series B unicorn rewriting how the world proves identity. Our AI-powered platform lets leading banks, fintechs, marketplaces, and governments deliver friction-free experiences while defeating fraud and safeguarding privacy. Customers such as Citi, AirBnB, Block, Chime, Sixt, and TikTok rely on Incode to power their identity verification and security. Recently named a Leader in the Gartner® Magic Quadrant™ for Identity Verification , we're scaling fast - and we're looking for world-class Machine Learning Engineers to help us keep pushing the boundaries of biometric technology. The Impact You'll Make As a Machine Learning Engineer at Incode, you'll design, build, and deploy the deep learning models that power our most advanced technologies - from facial recognition and liveness detection to document processing and ID validation. You'll join a highly specialized engineering team working on solving complex, real-world challenges with cutting-edge ML architectures. Your work will ### Senior Software Engineer for TypeScript & React Native SDKs - BloomReach - Location: Czechia (unspecified) - Salary: Not disclosed - Posted: 2026-03-24 - Parental leave: 26 weeks (not source-backed) - 401(k) match: listed (not source-backed) - Mental health support: yes (not source-backed) - Apply: https://job-boards.greenhouse.io/bloomreach/jobs/7745701 - Excerpt: Senior Software Engineer for TypeScript & React Native SDKs Czechia Bloomreach is building the world's premier agentic platform for personalization .We're revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the entire customer journey. - We're taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses. - We're making conversational shopping a reality, connecting every shopper with tailored guidance and product expertise - available on demand, at every touchpoint in their journey. - We're designing the future of autonomous marketing , taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do. And we're building all of that on the intelligence of a single AI engine - Loomi AI - so that personalization isn't only autonomous…it's also consistent.From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora. Are you looking for a cutting-edge tech stack to work with and to make an impact on a daily basis? We are currently forming a team of software engineers dedicated to developing and maintaining Web & Mobile SDKs for our customers, and we are looking for a new colleague to join as a Senior Software Engineer for JS Web SDK & React Native Mobile SDK (Engagement) . Working in one of our Central European offices (Brno, Prague, Bratislava) ### AIML - Machine Learning Engineer in Foundation Models, Responsible AI and Safety - Apple - Location: Cupertino, United States of America (unspecified) - Salary: $147K-$272K - Posted: 2026-04-27 - 401(k) match: listed (not source-backed) - Apply: https://jobs.apple.com/en-us/details/200660344/aiml-machine-learning-engineer-in-foundation-models-responsible-ai-and-safety?team=MLAI - Excerpt: AIML - Machine Learning Engineer in Foundation Models, Responsible AI and Safety Cupertino, United States of America Join us as we build world-class groundbreaking products for our customers! Apple's Data and ML Innovation team focuses on innovative technologies, methodologies, and research to enable fantastic user experiences and to push the frontier of machine learning. Our team is looking to hire a tech lead with a strong track record in Applied Research who is passionate about ML and foundation models with a focus on responsibility, fairness, and safety. In this role, you will lead the research and application of ML methods for technologies that power breakthrough user experiences while upholding Apple's values, privacy, and quality standards. This role will be highly multifunctional. You will collaborate closely with top machine learning researchers and engineers, software engineers, and design teams to develop and deliver groundbreaking solutions for Apple products. We believe that the most exciting problems in machine learning research arise at the intersection of emerging technologies and real-world use cases. This is also where the most critical breakthroughs come from. As a researcher, you will: - Define and deliver responsible machine learning technologies - Develop methods and frameworks to train and evaluate foundation models with responsibility and safety in mind - Research and advance safety alignment and model robustness methods for foundation models - Research and develop mitigations and safeguards to ensure safe deployment of LLM's in Apple products - Advocate for scientific and engineering excellence: You will contribute to the architecture ### 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 ### Computational Biologist - NewLimit - Location: South San Francisco, CA (unspecified) - Salary: $150K-$200K - Posted: 2026-03-04 - 401(k) match: listed (not source-backed) - Apply: https://job-boards.greenhouse.io/newlimit/jobs/5819398004 - Excerpt: Computational Biologist South San Francisco, CA About NewLimit NewLimit is a biotechnology company working to radically extend human healthspan. We're developing medicines to treat age-related diseases by reprogramming the epigenome, a new therapeutic mechanism to restore regenerative potential in aged and diseased cells. We leverage functional genomics, pooled perturbation screening, and machine learning models to unravel the biology of epigenetic aging and disease using experiments of unprecedented scale. Description NewLimit is seeking a Computational Biologist to join our Predict team. In this role, you will develop, improve, and operate bioinformatics pipelines supporting large-scale single-cell perturbation screens. Success in this position requires a deep attention to methodological detail at every stage of the analysis, as well as careful measurement and evaluation of pipeline performance. You will work closely with experimentalists and computational scientists to maintain core infrastructure, assess emerging analysis tools, and build robust software solutions that improve efficiency, scalability, and reliability. As a member of our team, you will: - Collaborate with Write, Read, and Predict teams to support the design, execution, and interpretation of experiments using single-cell and multi-omics data - Contribute to the development and implementation of primary and secondary analysis software. - Improve and run production pipelines for large-scale single-cell perturbation screens to ensure timely and reliable data delivery - Contribute to the development of reproducible, well-documented computational workflows and internal best practices - Develop microservice web applications and integrations that reduce wet lab manual effort and improve data flow between teams Requirements - Bachelor's, Master's, or ### Sr. Software Engineer- AI/ML, AWS Neuron Distributed Training - Performance Optimization - Amazon - Location: Seattle, Washington, USA (unspecified) - Salary: $168K-$227K - Posted: 2025-05-21 - 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) - Mental health support: yes (not source-backed) - Childcare support: yes (not source-backed) - Apply: https://www.amazon.jobs/en/jobs/2989101/sr-software-engineer-ai-ml-aws-neuron-distributed-training-performance-optimization - Excerpt: Sr. Software Engineer- AI/ML, AWS Neuron Distributed Training - Performance Optimization Seattle, Washington, USA Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. AWS Neuron is the complete software stack for the AWS Trainium and Inferentia cloud-scale machine learning accelerators and the Trn3/Trn2/Trn1 and Inf2/Inf1 servers that use them. This role is for a software engineer in the Distributed Training team for AWS Neuron. This role is responsible for development, enablement and performance tuning of a wide variety of ML model families, including massive scale multi-modal large language models like Llama, Qwen, gpt-oss, DeepSeek and beyond, as well as multi-modal generation models such as Stable Diffusion, Flux, WAN, and many more. The Distributed Training team works side by side with chip architects, compiler engineers and runtime engineers to create, build and tune distributed training solutions with AWS Trainium, maximize training throughput, minimize time-to-convergence, and push the boundaries of training efficiency on Trainium. You will identify and resolve performance bottlenecks across the stack, from collective communications and memory utilization to compiler optimizations and kernel performance. Key job responsibilities This role will lead efforts to optimize distributed training performance on Trainium, with a primary focus on maximizing training throughput, model flops utilization, and efficiency --- Source-backed benefit claims include source links; other benefit values are labeled separately.