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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 Mariana Minerals as a Full Stack Software Engineer to build software tools for the critical minerals supply chain.
Join HappyRobot as a Data Scientist to turn complex data into insights that influence product and ML roadmaps.
Join HappyRobot as a Machine Learning Engineer to build AI models for human-like conversations and shape the future of AI infrastructure.
Join Phylo as a Member of Technical Staff to advance AI agents for biomedical discovery through engineering and evaluation.
Join EliseAI as a Junior Research Scientist to develop machine learning models in a fast-paced startup environment.
Join EliseAI as a Senior Research Scientist to lead innovative machine learning projects in a fast-growing startup environment.
Join Exa as a Research Engineer to enhance search and retrieval systems in a cutting-edge AI lab.
Join Midstream Health as a Software Engineer to shape an AI-native platform for healthcare finance in a hybrid role based in the Bay Area.
Join Krea as an ML Engineer to build personalization and recommendation systems that enhance creative AI tools.
Lead the technical direction for 3D modeling and reconstruction at World Labs, driving innovation and execution in a hands-on role.
Join Atoms as a Robotics Systems Engineer to develop and deploy features for autonomous trucks in mission-critical environments.
Join Worldcoin as a Staff Backend Engineer to build decentralized, secure, and scalable backend systems for the World ID protocol.
Join Mirendil as a staff engineer to design and optimize custom ML kernels for frontier AI research.
Join Mirendil as a research engineer to build the post-training stack for frontier reasoning models in AI.
Join Mirendil as a Research Engineer to accelerate AI self-improvement through innovative ML systems.
Join OpenEvidence as a Member of Technical Staff to build world-changing medical AI products with a highly skilled engineering team.
Join Sprinter Health as an AI Research Scientist to advance AI methodologies in healthcare and collaborate with clinicians and product teams.
Join Sprinter Health as an Applied Scientist to optimize logistics and improve patient care delivery through advanced modeling and decision systems.
Join Sprinter Health as a Staff Machine Learning Engineer to build and lead the ML engineering function in a hybrid work environment.
Join Inductive Bio as a senior Medicinal Chemist to build an AI-forward drug discovery platform impacting the DMTA cycle.
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