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Machine Learning Jobs in San Francisco
230 open positions · Updated 1 day ago
230 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 · 129 hybrid · 28 on-site · 70 not stated
Advertised salaries: p25 $164.7k · median $200k · p75 $265.0k (from 144 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 230 positions
Search with filters →Lead a research team at Omnifold to develop advanced forecasting and optimization models in a startup environment.
Join Nooks as a Senior Technical Recruiter to shape the future of our engineering and product teams in a high-growth AI startup.
Lead the Enterprise FSI sales team to drive AI adoption in major financial institutions at Anthropic.
Lead enhancements to Databricks' AI/ML-powered search platform, focusing on search quality and relevance.
Join Zipline as a Software Engineer focusing on offboard systems for autonomous drones, leveraging AI and machine learning.
Join Zipline as a mid-level software engineer focusing on autonomy and perception for onboard systems.
Join Zipline as a Software Engineer focusing on autonomy and perception in a dynamic growth environment.
Join MaintainX as a Senior Applied Scientist to develop AI-powered inventory optimization models for enterprise maintenance teams.
Join Unsloth AI as a Founding ML Engineer to lead innovative machine learning projects in a startup environment.
Join Aalyria as a Software Engineer to work on innovative AI platform solutions in a hybrid work environment.
Join Waymo as a Machine Learning Engineer to enhance fleet monitoring and response systems.
Join Decagon as a Research Engineer to build next-generation AI voice agents in a collaborative, onsite environment.
Lead and grow a high-performing team of research engineers at Decagon, focusing on advancing conversational AI technologies.
Join Relace as a Machine Learning Scientist to develop innovative AI solutions in a growth-focused environment.
Lead a multidisciplinary team to enhance experimentation data infrastructure at Amplitude, a leading AI analytics platform.
Join Mercury as a Staff Data Scientist to build and deploy machine learning models for fraud detection in a fast-paced fintech environment.
Join Mercury as a Senior Data Scientist to build and deploy machine learning models for fraud detection in a fast-paced fintech environment.
Join Crucibl as a Member of Technical Staff to design and build AI systems that impact Fortune 500 clients directly.
Join Crucibl as a Member of Technical Staff to push the frontier of judgment in AI and shape the future of decision-making.
Join Judgment Labs as an Applied AI Engineer to build self-improving AI systems using real-world agent interaction data.
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