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Machine Learning Jobs in Ca
300 open positions · Updated 9 hours ago
300 Machine Learning roles across 80 companies, most in AI/ML; 7% fully remote; typical advertised salary $190k
Who is hiring (80 companies)
Work arrangement: 21 fully remote · 134 hybrid · 32 on-site · 113 not stated
Advertised salaries: p25 $153k · median $190k · p75 $239.3k (from 176 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 300 positions
Search with filters →Join Stripe as a Master's Machine Learning Engineer intern to tackle challenging problems at the intersection of finance, technology, and data.
Join Freed as a Machine Learning Engineer to develop AI systems that enhance healthcare professionals' efficiency.
Lead the enterprise AI sales strategy at Databricks, driving growth and customer engagement in AI applications.
Join Anthropic as a Research Resident to work on empirical AI research with a focus on safety and alignment.
Lead a team in developing motion planning and prediction for Kodiak's driverless trucks, focusing on technical direction and team growth.
Own the vision and roadmap for Lyft's base pricing strategy, optimizing pricing systems for a rapidly growing marketplace.
Join TRM Labs as a Senior Data Scientist to leverage machine learning for knowledge extraction and graph-based analytics.
Join Pinterest as a Senior Data Scientist to drive user growth through advanced marketing measurement and optimization.
Lead the Runtime Services team at Pinterest, focusing on platform reliability and engineering excellence with a hybrid work model.
Lead cross-Risk initiatives at Stripe to transform how users manage risk using advanced AI and infrastructure.
Lead the strategy and development of NodeZero’s Agentic Data Platform at a remote cybersecurity company.
Lead the development of complex ML models and systems for content ranking at Pinterest, collaborating across teams in a hybrid work environment.
Lead the Rider Recommendations team at Lyft, focusing on AI and ML to enhance user experience in the Rider App.
Join Anthropic as a Research Scientist to combine AI with hands-on biological research in computational chemistry.
Intern in machine learning focusing on driver refinement foundations at Waymo in San Francisco.
Join Waymo as a Summer Intern to work on ML frameworks and efficiency in a cutting-edge software engineering role.
Own the full recruitment lifecycle for technical teams at Mecka AI, focusing on engineering, robotics, and machine learning talent.
Join Affirm as a Senior Analyst to drive data-driven strategies across various teams in a fully remote environment.