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Machine Learning Jobs in San Francisco
230 open positions · Updated 1 week 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 →Join Baseten as a Post-Training Research Scientist to advance AI research and collaborate on impactful projects.
Join Baseten as a Post-Training Research Engineer to build in-house tooling for efficient and high-quality machine learning models.
Join Baseten as a GPU Kernel Engineer to optimize high-performance GPU kernels for cutting-edge AI applications.
Join Baseten as an Account Executive to drive sales and build relationships in a fast-paced AI startup environment.
Join Cogent Security as a Software Engineer to architect the world's first AI Cyber Taskforce for cybersecurity automation.
Join Rox as a Founding Applied Research Engineer to shape the future of applied AI with a focus on real-world production challenges.
Lead a high-performing data science team to drive product strategy and business growth through innovative analytical solutions.
Join Snorkel AI as a Senior/Staff FDE to lead complex customer engagements in agentic-AI initiatives.
Lead a team of forward deployed researchers to tackle complex data challenges in AI for enterprise clients.
Join Snorkel AI as a Staff Applied AI Engineer to lead pre-sales technical engagements and drive AI solutions for enterprise clients.
Lead and scale Snorkel AI’s technical recruiting function to support growth in a competitive market.
Join Atomic AI as a Scientist to develop machine learning models for RNA structure prediction and drug targeting.
Lead technical foundation and innovation in Payments at PayJoy, mentoring and designing scalable systems.
Lead machine learning initiatives at PayJoy, a mission-driven credit provider serving emerging markets.
Own the strategy for ranking, recommendations, and personalization in Strava's AI/ML team to enhance athlete experiences.
Join Strava as a Lead Data Scientist to drive measurement strategy and enhance AI-driven user experiences.
Lead the development of AI-driven applications for risk and fraud management at a growing startup.
Join Eve as a Machine Learning Engineer to build AI systems that transform legal technology for plaintiff law firms.
Join Hedra as a Research Scientist to lead innovative research in generative AI and physical systems with access to large-scale compute.
Own a critical product domain at Mariana Minerals, driving software solutions for the minerals supply chain with a focus on operational performance.
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