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Research Engineer, RL Scaling Science

Anthropic · London, United Kingdom

Confidence
High confidence
Posted
22 Jun 2026
First seen
25 Oct 2026
Last checked

Evidence

High confidence

The posting says Anthropic sponsors visas, and Anthropic is on the UK Home Office register.

Sponsor register

UK Home Office Register of Licensed Sponsors

Listed as Anthropic Limited. London · Skilled Worker route · A rating. Snapshot 26 Oct 2026.

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Job posting

Visa sponsorship: We do sponsor visas!

On job-boards.greenhouse.io/anthropic, read 26 Oct 2026.

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First seen 25 Oct 2026. We check every day and remove closed roles.

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job-boards.greenhouse.io/anthropic

Anthropic’s job board, hosted by Greenhouse.

Being on the register means Anthropic can sponsor visas. It doesn’t confirm this role qualifies, so check with the recruiter.

About the role

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 Anthropic's RL Scaling Science team studies how reinforcement learning behaves as we scale it (across model size, compute, and task horizon) and turns that understanding into the training recipes behind our frontier models. As a Research Engineer on this team, you'll design and run large-scale experiments to understand and resolve bottlenecks, build the benchmarks that make long-horizon progress measurable, and ship validated findings directly into production training.

This role lives at the boundary between research and engineering. The problems are open, the experiments run at frontier scale, and the path from a robust result to production is short.

Read the full posting

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