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Reinforcement Learning Jobs in San Francisco
63 open positions · Updated 2 days ago
63 Reinforcement Learning roles across 28 companies, most in AI/ML; 3% fully remote; typical advertised salary $300k
Who is hiring (28 companies)
Role types
Work arrangement: 2 fully remote · 32 hybrid · 8 on-site · 21 not stated
Advertised salaries: p25 $200k · median $300k · p75 $361.3k (from 42 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 63 positions
Search with filters →Join Harvey AI as a Member of Technical Staff to enhance legal models with cutting-edge AI techniques.
Join Perplexity AI's Agent Engine team to build advanced AI systems for discerning users.
Join Anthropic as a Research Scientist to combine AI with hands-on biological research in computational chemistry.
Join Together AI as a Forward Deployed Engineer to guide strategic customers in post-training AI model development.
Join Perplexity AI as a software engineer to build distributed systems for AI workloads and enhance model training infrastructure.
Join Atoms as an AI/ML Research Intern to bridge high-level AI research with real-world physical actuation for autonomous transport platforms.
Join Anthropic as a Research Engineer to advance AI models' silicon design capabilities within a collaborative team.
Join Preference Model as a Research Engineer to advance self-directed learning in large language models within a fast-paced startup.
Join Together AI as a Research Intern to explore speculative decoding and enhance large language model performance.
Join Together AI as a Research Intern to explore speculative decoding and enhance large language model generation.
Join Pinterest as a Staff Machine Learning Engineer to drive AI/ML research and solutions for content discovery.
Join Baseten as a Post-Training Applied Researcher to enhance AI models for leading companies in a collaborative environment.
Join Sierra as a Research Engineer to tackle applied AI and ML challenges in a collaborative environment focused on customer-facing solutions.
Join Anthropic as a Research Engineer/Scientist to develop next-generation RL algorithms and architectures at frontier scale.
Join Snorkel AI as a Research Scientist to advance high-quality data and environments for AI agents in a hybrid role.
Join Atoms as a Staff Machine Learning Engineer to develop action models for intelligent machines in a hands-on, impactful role.
Build systems for realistic reinforcement learning environments at a startup focused on automating coding.
Own the product strategy for Snorkel's Agentic Data and RL Environments as a founding AI Data Product Manager.
Join Distyl AI as a Research Engineer to bridge AI research and production systems, enhancing AI behavior and reliability.
Join Distyl AI as a senior researcher to innovate self-improving AI systems in a hybrid work environment.
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