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Machine Learning Jobs in San Francisco
232 open positions · Updated 3 weeks ago
232 Machine Learning roles across 84 companies, most in AI/ML; 1% fully remote; typical advertised salary $200k
Who is hiring (84 companies)
Work arrangement: 3 fully remote · 131 hybrid · 28 on-site · 70 not stated
Advertised salaries: p25 $164.7k · median $200k · p75 $262.5k (from 146 disclosed annual salaries, USD)
Counts are open roles Joblaze currently tracks on company career pages for this exact skill/location; salaries are advertised minimums, annual, converted to USD.
Showing 20 of 232 positions
Search with filters →Join Anthropic as a Partner Solutions Architect to cultivate technical relationships and drive AI practices with partners.
Join Anthropic as an IP Counsel to lead patent strategy and provide comprehensive IP guidance in a growing legal team.
Join LangChain as a Research Engineer to enhance the capabilities of the LangSmith Engine for AI agents.
Join Databricks as a Senior Developer Advocate to build and grow the open source community around Omnigent, an AI agent framework.
Join Databricks as a Senior Developer Advocate to build and grow the open source community around Omnigent, an AI agent meta-harness.
Lead the Global GCP Cloud Alliance team to design and scale Databricks' Go-To-Market strategy with GCP.
Serve as a trusted technical expert in AI/ML, designing and deploying production-level architectures for Databricks customers.
Join Databricks as a Solutions Architect to lead technical strategies for large enterprises in their data-driven transformation.
Lead and grow a team of engineers building Figma's data platform, driving technical direction and team health.
Lead and develop a high-performing team to build Mercury's core data infrastructure and platform for analytics and AI.
Join Anthropic as a Technical Program Manager to drive progress in reinforcement learning research and enhance AI systems.
Join Databricks as a Senior Applied ML Engineer to optimize infrastructure and enhance serverless compute products.
Lead investigations into violent extremist networks and develop detection strategies at Discord.
Join Faire as a Staff Product Manager to enhance our data and ML platforms, driving quality and adoption across teams.
Join insitro as a Senior Manager to lead project and portfolio management for innovative drug discovery in a hybrid work environment.
Lead and grow a team of machine learning researchers to develop methods for extracting insights from in-vitro microscopy datasets.
Join insitro as a Senior Machine Learning Scientist to develop ML-driven computer vision pipelines for drug development.
Lead the Project & Portfolio Management team to advance drug candidates using AI/ML in a hybrid role at insitro.
Join insitro as VP to lead the development of innovative bioassays and cell models for drug discovery using machine learning.
Join insitro as a Senior ML Scientist to develop machine learning methods for biological data analysis in a vibrant biotech startup.
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