162 ml research engineer jobs at 96 companies in Cotati, CA
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Research Scientist / Research Engineer
San Francisco, California, United States
$100k-$300k/yrOnsiteFull Time
Clera: AI talent agent matching professionals with high-growth startup roles
0+ YOEExperience may range from 0–12 years. Requires strong fundamentals and execution; research candidates need ML or related expertise, while engineering candidates need software skills building ML systems or scalable data infrastructure.
Decagon: Conversational AI platform for automated customer support.
2+ YOE2+ years AI/ML engineering or research experience, experience training and deploying LLMs, fluency in Python and modern ML tooling, track record of productionizing research.
Staff Research Engineer, Scientific Computing and ML/Physics Infrastructure
Cambridge or London or San Francisco
$224k-$294k/yrOnsiteFull Time
Lila Sciences: Develops an AI platform for autonomous scientific research and discovery.
Strong software engineering in Python, experience with ML/scientific computing, distributed systems, GPU performance, PyTorch/JAX/CUDA, Linux and containers, orchestration systems, and working with research teams.
Experienced in biomolecular modeling and ML for drug discovery; ability to fine-tune protein/structure models, build ML systems that integrate with wet-lab workflows, and evaluate model impact on drug development.
Mountain View or New York City or Kirkland or San Francisco
$213k-$263k/yrHybridFull Time
Waymo: Autonomous driving technology for ride-hailing and logistics.
2+ YOEMaster's or PhD in a technical field plus 2+ years of industry or postdoctoral research experience in reinforcement learning or foundation models; scalable distributed model training experience required.
Multimodal LLMs, World Models, Camera, LiDAR, Radar, Transformer, Data Parallel, FSDP, Diffusion, Autoregressive Models
SuperAnnotate: Platform for building high-quality training datasets for AI models.
MS/PhD or equivalent research experience in ML/CS, deep ML knowledge, hands-on experience with RL/agentic systems or multimodal evaluation, strong Python skills, autonomy, and technical writing.
Research Engineer / Research Scientist - RE / RS - Proactivity
San Francisco, California, United States
$295k-$555k/yrHybridFull Time
OpenAI: Develops artificial intelligence models and generative AI software services.
Strong ML engineering and research experience with LLM post-training, reinforcement learning, dataset creation, evaluations, and ability to work in a large ML codebase.
Onton: An AI-powered search engine for product discovery and shopping.
Significant software/ML/research engineering experience, deep understanding of AI (neurosymbolic approaches), strong implementation and critical thinking skills; PhD/Master's preferred.
Resolution: Conducts research on aligning artificial superintelligence with human intent.
Strong software engineering with production Python, ML framework experience (PyTorch or Jax), distributed-training knowledge, ability to ship complex systems, bachelor's degree (or equivalent) in CS/physics/math/ML, and motivation for ASI alignment.
Epsilon Health: Provides AI-powered radiology diagnostic services and medical imaging software.
2+ YOE2+ years ML or data engineering experience, strong Python, experience in data quality or evaluation for ML, ability to build pipelines and evaluation metrics, collaborate with clinicians in fast-moving research settings.
Canva: Online graphic design platform for creating and editing visual content.
5+ YOE5+ years ML research or research engineering; experience shipping LLM-powered systems; Python and PyTorch; multimodal models; agent planning, memory, and evals; strong experimentation.
HeyMilo: Automates candidate screening and interviews using AI voice agents.
Advanced degree in AI/ML or CS, strong RL and LLM experience, Python and systems engineering skills, experience with containers and cloud, and ability to own research-to-production projects.
Center for AI Safety: Conducts research and advocacy to mitigate AI risks.
Must be a current university student, have empirical ML research experience and at least one top‑venue publication or equivalent contributions, able to run and debug ML experiments, and familiar with PyTorch.
World Labs: Building foundational AI models to perceive and simulate 3D worlds.
5+ YOE5+ years building and shipping production systems; strong in at least one area of ML infra, distributed systems, data systems, or research tooling; Python expert; experience with ML researchers; high ownership mindset.
Adaption: Develops efficient AI systems that adapt in real-time.
4+ YOE4+ years ML or applied research experience, 2+ years customer-facing technical experience, strong software engineering skills, familiarity with PyTorch/JAX/TensorFlow, and excellent communication.
3+ YOEBachelor's in CS or related,3+ years software/ML engineering or ML research,experience with research teams and large-model training,strong communication and critical thinking.
EnCharge AI: Develops energy-efficient analog in-memory AI hardware and software systems.
5+ YOE5+ years in ML research/systems, strong Python and PyTorch, hands-on with transformers/diffusion models, fine-tuning and evaluation pipelines, hardware-aware ML optimizations and benchmarking experience.