66 ai research scientist jobs at 43 companies in Petaluma, CA
🚀PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
AI Research Scientist, Audio-Visual Understanding, FAIR
Menlo Park or New York City or San Francisco
$154k-$217k/yrHybridFull Time
MetaNASDAQ: META: Develops social networking platforms and virtual reality technologies.
PhD in AI/CS or related; Bachelor's in CS/CE or equivalent; industry/postdoc/research experience; ML/AI fundamentals; Python experience; data analysis; work authorization.
Python, Machine Learning, Data Analysis, Research, Programming
San Francisco or Seattle or New York City or Austin or Chicago or London
$234k-$296k/yrHybridFull Time
Writer: Platform for building and deploying enterprise generative AI agents.
7+ YOE7+ years ML research experience with LLM pre-/post-training, strong publication record, Ph.D. or equivalent, expert in post-training methods (SFT, RLHF, RLAIF, DPO), Python and PyTorch/JAX proficiency, experience shipping production models.
Senior AI Research Scientist – Foundation Models & Agentic AI
Charlotte or San Francisco or West Des Moines or Irving or Tempe or Saint Louis or Minneapolis
$139k-$260k/yrHybridFull Time
Wells FargoNYSE: WFC: Global provider of banking, investment, and mortgage financial services.
4+ YOEMaster's degree in a quantitative field and 4+ years quantitative analytics experience; expertise in foundation models, LLMs, agentic AI, modern ML frameworks, GPU infra, and a strong research publication/engineering record.
Edison Scientific: Developing autonomous AI agents for scientific research and discovery.
5+ YOE5+ years ML research experience; fluency in PyTorch or Jax; experience with large-scale training and tools (e.g., Ray, Megatron-LM); expertise in EDA, feature engineering, model development/deployment; strong programming skills.
P-1 AI: Developing AI agents for industrial engineering and physical design.
Conduct research in spatial reasoning, 3D/geometric understanding, and physical reasoning; fluent in Python and ML stacks such as PyTorch or JAX; strong research/engineering record; experience with CAD/point clouds/meshes a plus.
Mimic: Developing AI-powered dexterous robotic hands for industrial automation.
3+ YOEPhD-level background in CS/Data Science/Robotics (or equivalent), 3+ years training generative models, 4+ years Python development, project supervision experience, and fluent English.
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.
Principal Research Scientist - AI Scaling & Optimization
San Francisco or Mountain View
$270k-$350k/yrOnsiteFull Time
Databricks: A unified platform for data analytics and artificial intelligence.
Lead a research team focused on foundation model efficiency, scalable ML systems, and optimization; strong Python and PyTorch programming; proven research impact.
People Research Data Scientist, AI Fairness & Bias
San Francisco or New York City or Seattle or Washington
$198k-$220k/yrHybridFull Time
OpenAI: Develops artificial intelligence models and generative AI software services.
Experienced data scientist or applied researcher with deep expertise in algorithmic fairness, bias measurement, evaluation design, and strong proficiency in Python/R and SQL; able to design audits, build evaluation pipelines, and advise stakeholders.
Listen Labs: Automates customer research interviews through generative AI platforms.
Strong research track record in AI, LLMs, post-training, RLHF, behavioral modeling, or simulation. Founding role; ability to define problems, scope programs, and communicate clearly.
Machine Learning, Natural Language Processing, RLHF, Evaluation, Simulation
Data Scientist / AI Scientist – AI for Aging Research – Zhou lab
Novato, California, United States
$80k-$130k/yrOnsiteFull Time
Buck Institute for Research on Aging: Conducts biomedical research to extend the healthy human lifespan.
BS/MS/PhD in a quantitative field; strong background in computer vision, deep learning, AI methods; experience in analyzing complex datasets; ability to work in multidisciplinary team; strong communication skills.
Python, Machine Learning, Deep Learning, Computer Vision, Image Analysis, Diffusion Models, Multimodal / Foundation Models, Generative AI, Data Analysis, Big Data, Research Computing
Manifold Bio: Designing tissue-targeted protein therapeutics using AI and in vivo screening.
5+ YOEPhD in ML/Computational Biology/Bioinformatics/CS; 5+ years ML research; expert PyTorch/JAX; protein design expertise; leadership/mentoring experience; strong statistics and HPC knowledge; excellent communication.
Master's in EE/Physics or equivalent; experience with superconductor logic families and tape-out of superconducting IC chips; one or more published papers; proficiency with CAD and electromagnetic simulation tools.
Redwood City or Boston or New York City or Chicago or San Francisco or Los Angeles or California or Colorado or Illinois or New York
$90k-$150k/yrOnsiteFull Time
Tempus AINASDAQ: TEM: Builds a data platform for AI-powered precision medicine diagnostics.
4+ YOEPhD preferred, 4+ years drug development experience using genomic and multimodal data, strong computational biology and AI knowledge, proficiency in R/Python/ SQ, client-facing experience, and ability to travel ~25%.
Research Scientist – Embodied AI - Job Detail | Careers Marketplace - Siemens
Berkeley, California, United States
$105k-$180k/yrOnsiteFull Time
SiemensXETRA: SIE: Manufactures industrial automation, infrastructure, and energy technology systems.
M.Sc. or Ph.D. in CS/EE/Robotics, professional-level C++ and Python, experience building and deploying ML models on robotic systems, knowledge of Transformers/VLMs/Diffusion Models, hands-on robotics and sim-to-real experience, English proficiency, and legal U.S. work authorization without sponsorship.