156 ai scientist jobs at 96 companies in Suisun, CA
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AI Scientist
Chicago or Minneapolis or San Francisco
$139k-$164k/yrHybridFull Time
U.S. BankNYSE: USB: Provider of personal, business, and institutional financial services.
8+ YOEBachelor's degree or equivalent experience, 8+ years of AI/ML experience, and expertise in Python, AI/ML frameworks, generative AI, production deployment, and technical leadership.
Tel Aviv or Foster City or Plano or Toronto or Vancouver or London or Amsterdam or Tbilisi or Medellin
HybridFull Time
Tipalti: AI-powered platform for finance automation and global payments.
3+ YOEBachelor's in CS/Engineering (AI focus), 3+ years AI/ML engineering experience, production deployment of agentic AI systems, proficiency with Python and SQL, LLMs, RAG and vector DBs, cloud deployment (AWS preferred).
Ent Security: Erprise cybersecurity platform built for the AI era.
PhD or equivalent with hands-on frontier AI/ML research experience, publications or code, ability to develop new algorithms and deliver production solutions.
CapgeminiEuronext Paris: CAP: Provides global IT consulting and digital transformation services.
3+ YOE3+ years building and deploying GenAI and predictive AI solutions; bachelor's degree in CS/ML/AI or related; proficiency in Python, ML frameworks, APIs, MLOps, and data engineering.
GPT, Claude LLM, Stable Diffusion, LangChain, TensorFlow, PyTorch, Scikit-learn, RAG, AI Agents, API Development, REST APIs, JSON, HTTP Requests, Authentication & Tokens, Python
Buck Institute for Research on Aging: Conducts biomedical research to extend the healthy human lifespan.
Master's degree or equivalent experience; strong Python skills; deep experience with large language models, agentic AI, RAG/vector systems, AI APIs, and modern software engineering; experience with harmonizing and modeling large biomedical/omics datasets.
Python, Docker, APIs, cloud platforms, vector databases, embeddings, retrieval-augmented generation (RAG), Large Language Models (LLMs), LLM-based developer tools, AI agent frameworks, vector search
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.
Echo Neurotechnologies: Developing brain-computer interface technologies to improve patient autonomy.
5+ YOEBachelor's or Master's in quantitative field, 5+ years ML experience, experience with transformers, time-series/state-space models, production ML platforms, Python, PyTorch, and GPU-accelerated pipelines.
Omnifold: AI-powered forecasting and planning platform for supply chains.
Technical sales/consulting or data science experience, enterprise sales cycle experience, strong ML and data analysis skills, proficiency with Python and SQL, excellent communication and project management.
MetaNASDAQ: META: Develops social networking platforms and virtual reality technologies.
5+ YOEPhD in AI/Robotics or related field; 5+ years robotics research; ML/RL/vision-language expertise; strong publication and systems-building track record.
Astera Institute: Conducts fundamental research in artificial intelligence and longevity science.
2+ YOEPhD or equivalent in ML/computational biology preferred; 2+ years post-PhD industry research experience; experience training models from scratch, reinforcement learning, transformers/diffusion models, and building training infrastructure.
Xaira Therapeutics: Develops AI models for protein and antibody drug discovery.
Strong background in deep learning; experience with representation learning and generative modeling; proficiency in Python, ML frameworks (PyTorch, JAX); multitask experience with multimodal data.
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.
7+ YOE7+ years quantitative analytics experience, master’s degree or higher in a quantitative field, expertise with foundation models/LLMs and agentic AI, publication record, experience deploying models to production.
ExelixisNASDAQ: EXEL: Discovers and commercializes innovative medicines for cancer treatment.
5+ YOEDevelop, train, and validate AI/ML models for clinical datasets; proficiency with Python, R, SQL; experience with Databricks and AWS; strong statistical and data engineering skills; documentation and GxP-compliant validation experience.
Python, Pandas, NumPy, scikit-learn, R, SQL, LLM, Databricks, Delta Lake, AWS S3, AWS Lambda, AWS Glue, Git, GitHub, Jira, Spotfire, Tableau, Power BI
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.
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.
Kinetic Systems: A Stanford PhD spinout advancing AI model capabilities for clinically meaningful healthcare tasks.
Medical degree required; intermediate software engineering skills in Python and Javascript; knowledge of healthcare data standards; clinical experience and academic publishing preferred; willing to work onsite in San Francisco.
Waterloo or New York City or San Francisco or Toronto or London
$196k-$270k/yrHybridFull Time
Faire: Online wholesale marketplace connecting independent retailers with unique brands.
5+ YOE5+ years building production ML/AI systems, hands-on applied science (data, evaluation, modeling), shipped agentic/LLM features, cross-stack engineering experience, and strong experimental and product judgment.
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.
Rippling: Unified platform managing workforce HR, IT, and finance operations
3+ YOE3+ years experience in data science/applied ML or related fields, 2+ years hands-on data science/applied ML, production LLM experience, strong Python and SQL, FastAPI/Next.js/TypeScript experience a plus.