119 ml research scientist jobs at 62 companies in Cotati, CA
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ML Research Scientist (MLRS) - Generative AI
San Francisco or New York City
$165k-$259k/yrHybridFull Time
Achira: AI foundation models for atomistic simulation and drug discovery.
Industry research experience (post-degree), demonstrated research impact (publications or released models), proficiency in Python and modern ML frameworks, strong interdisciplinary communication, and experience collaborating on multi-person research projects.
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.
Eleos AI Research: Nonprofit research organization studying AI consciousness and moral status.
Design and run empirical ML research on AI well-being; strong publication record; experimental design and engineering skills; familiarity with AI welfare/safety; PhD preferred.
Engram: Developing persistent memory layers for enterprise AI systems.
Deep ML background with research track record; expertise in continual learning, memory architectures, parameter-efficient fine-tuning, retrieval, synthetic data, or agents; strong systems understanding and technical communication.
Scale AI: Provides data and infrastructure for training artificial intelligence models.
5+ YOE5+ years research experience (PhD preferred) in ML/DL/generative models/agents/RL, track record of top-tier publications, experience leading research teams, excellent written and verbal communication.
MetaNASDAQ: META: Develops social networking platforms and virtual reality technologies.
4+ YOEPhD in a relevant field, 4+ years research experience, publications at top ML conferences, research background in ML/AI/applied math, and experience developing and debugging in Python.
Center for AI Safety: Conducts research and advocacy to mitigate AI risks.
PhD-level or equivalent research record with multiple top-conference publications or substantial AI lab research; empirical deep-learning experience, ability to run and debug ML experiments, and strong communication.
Research Engineer / Research Scientist - Personal AGI, Personalization
San Francisco, California, United States
$295k-$555k/yrHybridFull Time
OpenAI: Develops artificial intelligence models and generative AI software services.
Experience in frontier model post-training, personalization and memory research; strong ML and product-driven research skills; ability to iterate quickly, build evaluations, and work with large ML codebases and human data.
Sprinter Health: Mobile provider of in-home diagnostic and preventive healthcare services.
Deep ML research experience, strong track record of novel contributions, ability to run experiments at scale, clinical collaboration experience, and familiarity with healthcare validation and external evaluation.
Anthropic: Developing safe and reliable artificial intelligence systems.
PhD or equivalent industry research experience in computational biology or related field; track record of end-to-end computational biology research; proficiency with Linux, cloud compute, and scientific programming; strong communication with biologists and ML researchers.
Astera Institute: Conducts fundamental research in artificial intelligence and longevity science.
Ph.D. or equivalent in a relevant field; experience programming in Python; familiarity with Jax, Pytorch, NumPy, SciPy; research experience in computational/theoretical neuroscience; data analysis, statistics, or ML experience; ability to work independently and communicate results.
Mountain View or San Francisco or Kirkland or New York City
$213k-$263k/yrHybridFull Time
Waymo: Autonomous driving technology for ride-hailing and logistics.
2+ YOEMasters or PhD in CS/ML/Robotics, 2+ years industry or post-doc research experience in reinforcement learning or foundation models, strong publication record, experience with distributed training (Data parallel, FSDP), and scalable model evaluation and data pipelines.
Lila Sciences: Develops an AI platform for autonomous scientific research and discovery.
PhD or equivalent experience in ML or quantitative field; hands-on ML for DNA/RNA, experience with sequence design, strong communication and collaboration skills.
Epsilon Health: Provides AI-powered radiology diagnostic services and medical imaging software.
6+ YOE6+ years in RL/post-training or multimodal ML, expertise in post-training and RL, experience with large multimodal models, distributed training, and research publication track record.
Xterra AI: A stealth-stage AI building agents and foundation models to solve complex scientific problems.
Hands-on ML experience training large models, reinforcement learning (RLHF/RLAIF), reward modeling, and ability to work across research and engineering.
Anthrogen: AI-driven platform for designing and validating synthetic proteins.
Proven original ML research track record, deep command of modern deep learning (generative models, architectures, optimization, scaling), and ability to run independent research from idea to result.
San Francisco or New York or Toronto or Europe or San Francisco or North America
RemoteFull Time
Adaption: Develops efficient AI systems that adapt in real-time.
4+ YOEPhD or equivalent; 4-5+ years industry experience; published in top ML conferences; deep expertise in model efficiency/real-time optimization; strong systems thinking; Python and DL frameworks; knowledge of RLHF/fine-tuning; industry lab with large-scale computing.
NobleAI: Science-based AI platform for industrial product R&D optimization.
Ph.D. in a STEM field required; ML coursework or degree; hands-on experience applying ML to scientific/engineering problems; strong Python and ML framework experience; ability to deploy models to production and communicate complex technical results.
Python, PyTorch, TensorFlow, Keras, sklearn, Microsoft Azure, AWS, GCP
Research Scientist, Real-Time Interactivity / Inference
San Francisco, California, United States
OnsiteFull Time
Reactor: Building infrastructure for real-time generative world models.
PhD in ML/CS/robotics or equivalent; strong real-time video generation research; proficiency in PyTorch or JAX; strong publication record; experience with large-scale training/inference