203 ml scientist jobs at 121 companies in Cotati, CA
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ML Scientist I/II, Nucleic Acid Design
San Francisco, California, United States
$176k-$304k/yrOnsiteFull Time
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.
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
Zed: AI-native neobank providing premium credit services to young professionals.
7+ YOE7+ years applied ML/data science experience in credit risk or fraud; production experience with LLMs, embeddings, and transformer models; proficiency in Python, SQL, and ML frameworks; strong feature engineering and model monitoring skills.
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.
Kitchener-Waterloo or Toronto or San Francisco or New York City or London
$200k-$275k/yrHybridFull Time
Faire: Online wholesale marketplace connecting independent retailers with unique brands.
7+ YOE7+ years building large-scale ML systems (3+ years in search/recommendation), strong Python, experience with PyTorch, vector search (Faiss/ScaNN/Pinecone), Triton/GPU deployment, LLMs (BERT/GPT-class), productionizing personalized models, excellent communication.
PinterestNYSE: PINS: Visual discovery engine for finding inspiration and creative ideas.
2+ YOE2+ years applied science or ML production experience; strong Python, PyTorch, distributed compute (Spark, Ray); experience with ML orchestration (Airflow, Prefect, Jenkins); strong ML theory and software practices.
UnitedHealth GroupNYSE: UNH: Provides health insurance and technology-enabled health care services.
3+ YOEMaster's in CS/ML/STEM,3+ years with PyTorch/TensorFlow,2+ years NLP and generative AI experience,2+ years building ML applications,and 1+ year agentic research experience.
Machine Learning Scientist - Apple Services Engineering, GenAI & ML Frameworks
San Francisco, California, United States
OnsiteFull Time
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Experienced ML scientist working on LLMs and GenAI, collaborating with product, infra, and foundation model teams to improve model reasoning, domain knowledge, tool use, and system integration.
Scientist II, ML - Guided Protein Design Evaluation
Emeryville, California, United States
$147k-$180k/yrHybridFull Time
Profluent: Designs functional proteins using deep generative AI models.
5+ YOEPhD (or MS with equivalent industry experience) in molecular biology/related; 5+ years protein engineering and antibody discovery experience; strong NGS screening knowledge; ability to define assay QC and work across ML, bioinformatics, and experimental teams.
Lawrence Berkeley National Laboratory: Conducts scientific research to address global challenges.
10+ YOEPhD (or equivalent) in a related field, 10+ years research experience, demonstrated PI funding record, leadership of interdisciplinary teams, experience applying AI/ML to forecasting, strong publication and communication record.
United States or Birmingham or Minneapolis or San Francisco
$115k-$170k/yrRemoteFull Time
Shipt: Provides same-day delivery services from local retailers via app.
3+ YOEBachelor's in STEM, 3+ years applying machine learning, proficiency in Python and SQL, experience with PyTorch or TensorFlow, familiarity with learning-to-rank, search or recommender systems, and multi-objective optimization.
Adaption: Develops efficient AI systems that adapt in real-time.
3+ YOE3–4 years in ML or applied research; deploy ML systems; strong software engineering with PyTorch/JAX/TensorFlow; online/ RL or efficient ML architectures; data modeling and curation impact; strong communication; ownership mindset; bonus: human feedback/adaptive learning.
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
2+ YOEMaster's in STEM (or equivalent experience), 2+ years data scientist experience, 3+ years SQL/Python/R/SAS/Matlab experience, 3+ years ML/statistical modeling, plus experience guiding researchers and working with AI systems.
Middesk: Automates business identity verification and risk compliance for companies
4+ YOE4+ years in fraud/risk/trust domains; experience shipping production ML/data systems; strong ML/data systems foundation; familiarity with graph/relational data; hands-on and pragmatic.
Crucibl: AI-powered platform for enterprise business decision-making.
Requires strong ML/AI fundamentals, production ML systems experience, end-to-end product delivery, and proficiency across data, modeling, evaluation, and deployment. Production LLM or agentic systems experience preferred.
ReadyOn: AI-native labor operating system for frontline enterprise workforces.
4+ YOEBS/MS/PhD in a quantitative field; 4+ years building and deploying ML models, 2+ years time-series forecasting; advanced Python, SQL, and forecasting library experience; production ML and MLOps skills; strong communication and mentoring ability.
UberNYSE: UBER: A technology platform for transportation, delivery, and freight.
4+ YOE4+ years applied ML experience, advanced probability/statistics, production ML coding, system monitoring, strong communication; M.S./Ph.D. or equivalent experience.
Parafin: Embedded financial infrastructure for small business platforms.
Bachelor’s degree in CS/Statistics/Mathematics/Data Science; strong stats, ML, and engineering mindset; business acumen; leadership a plus; focus on growth, portfolio, and infrastructure.
XGBoost, Streamlit, APIs, LLMs, Machine Learning, Data Pipelines
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.