4 ml engineer i jobs at 3 companies in Cotati, CA

3w
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Senior MLOps Engineer I
San Francisco, California, United States
$170k-$180k/yr OnsiteFull Time
Zeitview
Zeitview: Drone-based infrastructure inspection and visual data analytics.
4+ YOEBachelor's degree,~4+ years MLOps or ML platform experience, strong Python, experience with cloud (AWS), Terraform, CI/CD, Docker/Kubernetes, model deployment and monitoring, and working with ML researchers.
Python, AWS, Terraform, Github Actions, Docker, Kubernetes, PostgreSQL, Hasura
1mo
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AI Engineer I
South San Francisco, California, United States
$100k-$159k/yr OnsiteFull Time
Frontier Medicines
Frontier Medicines: Developing precision medicines for traditionally undruggable disease-causing proteins.
1+ YOEBSc (2–3 yrs) or PhD (1+ yr) in a quantitative field, strong Python programming, experience designing/training multimodal and generative ML models (self-supervised, MoE, DeepSpeed/FSDP), and ability to deploy/serve models for drug discovery; legal US work authorization required.
Python, DeepSpeed, FSDP, Mixture of experts (MoE), RAG, GNNs, VAEs
2w
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Research Engineer I II/III (AI / Machine Learning)
San Francisco, California, United States
$78k-$114k/yr OnsiteFull Time
Gladstone Institutes
Gladstone Institutes: Conducts independent biomedical research to discover cures for diseases.
0+ YOEBS/MS in CS, AI, ML, computational biology, bioengineering, or related; 0–2 years experience; strong Python; experience with LLMs, agentic AI, Langchain/Langgraph, cloud (GCP/AWS/Azure), Docker, Git; interest in biology.
Python, Claude Code, Codex, OpenCode, Langchain, Langgraph, OpenAI, Gemini, Claude SDK, GCP, AWS, Azure, Docker, Git, LLMs, embeddings, vector databases, GitHub
1mo
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Senior AI Data Scientist I
Alameda, California, United States
$144k-$203k/yr OnsiteFull Time
Exelixis
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