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Reinforcement Learning Jobs at Anthropic
26 open positions · Updated 5 days ago
26 Reinforcement Learning roles across 1 company, most in AI/ML; typical advertised salary $385k
Who is hiring (1 companies)
Role types
Work arrangement: 25 hybrid · 1 on-site
Advertised salaries: p25 $350k · median $385k · p75 $500k (from 24 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 26 positions
Search with filters →Join Anthropic as a Research Engineer to advance AI capabilities in cybersecurity through reinforcement learning.
Join Anthropic as a Research Scientist to enhance AI capabilities in engineering and applied sciences.
Join Anthropic as a Research Engineer to advance AI capabilities in cybersecurity through innovative research and engineering.
Join Anthropic as a Research Scientist to combine AI with hands-on biological research in computational chemistry.
Join Anthropic as a Research Engineer to advance AI models' silicon design capabilities within a collaborative team.
Join Anthropic as a Research Engineer/Scientist to develop next-generation RL algorithms and architectures at frontier scale.
Join Anthropic as a Research Engineer to advance AI capabilities in cybersecurity through innovative research and engineering.
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 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 Anthropic as a Research Engineer to design and run large-scale experiments in Reinforcement Learning for AI systems.
Join Anthropic as a Research Engineer to enhance AI's coding capabilities through reinforcement learning in a collaborative environment.