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Reinforcement Learning Jobs in San Francisco
61 open positions · Updated 1 week ago
61 Reinforcement Learning roles across 30 companies, most in AI/ML; 3% fully remote; typical advertised salary $300k
Who is hiring (30 companies)
Role types
Work arrangement: 2 fully remote · 32 hybrid · 5 on-site · 22 not stated
Advertised salaries: p25 $187.3k · median $300k · p75 $353.8k (from 40 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 61 positions
Search with filters →Join Mirendil as a staff engineer to build the post-training stack for frontier reasoning models in a tech-first startup.
Join Mirendil as a research engineer to build data systems and execution environments for reinforcement learning.
Join Mirendil as a research engineer to build the post-training stack for frontier reasoning models in AI.
Join Ambience as a Staff ML Engineer to shape AI systems that enhance clinician experiences in healthcare.
Join Preference Model as a Senior ML Infrastructure Engineer to build scalable infrastructure for post-training research on large language models.
Join Preference Model as a Research Engineer to advance self-directed learning in machine learning with a focus on RL environments.
Join Cursor as a Software Engineer on the RL Data team to create and improve tasks for training coding agents.
Join Roboflow as a Member of Technical Staff to advance frontier model capabilities in AI with a focus on building scalable environments and datasets.
Join LangChain as a Research Engineer to enhance the capabilities of the LangSmith Engine for AI agents.
Join Anthropic as a Technical Program Manager to drive progress in reinforcement learning research and enhance AI systems.
Join Anthropic as a Staff Software Engineer to design APIs and frameworks for reinforcement learning environments in a collaborative AI research team.
Join Anthropic as a Research Engineer to advance AI models' silicon design capabilities within a hybrid work environment.
Lead a team of engineers to build infrastructure for training and evaluating ML models in a flat, innovative organization.
Join Together AI as a Research Engineer to develop a platform for customizing open-source models with user data.
Join Anthropic as a Research Engineer to advance AI in life sciences through innovative machine learning techniques.
Join Anthropic as a Research Engineer to enhance AI's ability to understand and operate software, contributing to impactful AI systems.
Join Databricks as a Staff Research Engineer to develop cutting-edge data agents for enterprise AI applications.
Join Anthropic as a Research Engineer to enhance AI capabilities in finance, healthcare, and legal domains through applied research and data sourcing.
Join Anthropic as a Research Engineer to enhance AI's coding capabilities through reinforcement learning in a collaborative environment.
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