Research Engineer, RL Engineering
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Pay posted by Anthropic
H-1B wage offered by Anthropic for software developers
Median of 105 filings, fiscal year 2026. A filing shows the wage offered. It does not show that anyone was hired.
Market pay for software developers in United States
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Source: Pay field in the Anthropic job posting; US Department of Labor H-1B disclosure data; US Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025.
Job description preview
From Anthropic’s original posting
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Reinforcement learning (RL) is how Claude learns to reason, write code, and act autonomously over long horizons. This role sits on the team that builds and owns the RL training system: the system that trains our production models and that researchers across Anthropic run their experiments on. The team works closely with research teams across the company on the science and engineering of making RL work at scale. As a Research Engineer on the team, you'll work at the center of RL at Anthropic. You'll have a direct view of how RL training behaves at the frontier because the system you own sits underneath both production and research runs. You will use it with collaborators across research teams to understand what is working, what is fragile, and where the next improvements are. Key responsibilities • Build, own, and improve the core RL…
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