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Machine Learning Jobs in Ca
269 open positions · Updated 4 weeks ago
269 Machine Learning roles across 80 companies, most in AI/ML; 7% fully remote; typical advertised salary $189.7k
Who is hiring (80 companies)
Work arrangement: 18 fully remote · 130 hybrid · 32 on-site · 89 not stated
Advertised salaries: p25 $150.2k · median $189.7k · p75 $239.2k (from 182 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 269 positions
Search with filters →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.
Drive enterprise sales in the Energy, Mining, and Utilities sectors as a Named Core Account Executive at Databricks.
Lead the vision and strategy for Identity Threat Detection and Response within Elastic Security in a fully remote environment.
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 Robinhood as a Staff Machine Learning Engineer to design and deliver advanced personalization systems for millions of users.
Join Anthropic as a Technical Program Manager to drive progress in reinforcement learning research and enhance AI systems.
Join SpaceX as a Senior Software Engineer to develop reliable software systems for controlling satellites in low earth orbit.
Join Reddit as a Staff Data Scientist to lead innovative measurement and identity solutions in advertising.
Lead the development of advanced Machine Learning models to transform Customer Operations at Monzo.
Join Databricks as a Senior Applied ML Engineer to optimize infrastructure and enhance serverless compute products.
Join Faire as a Staff Product Manager to enhance our data and ML platforms, driving quality and adoption across teams.
Lead the Project & Portfolio Management team to advance drug candidates using AI/ML in a hybrid role at insitro.
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.
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 Manager to lead project and portfolio management for innovative drug discovery in a hybrid work environment.
Join insitro as a Senior ML Scientist to develop machine learning methods for biological data analysis in a vibrant biotech startup.
Join insitro as a Senior Scientist to develop iPSC-derived cardiomyocyte models for cardiovascular disease research.