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Research Engineer / Performance Engineer, RL Distributed Systems

Anthropic · San Francisco · Remote

USD 500,000–850,000 / year

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Company
Anthropic
Location
San Francisco, CA | New York City, NY | Seattle, WA
Work mode
Remote
Open to applicants from
Not specified
Level
Not specified
Employment
Not stated
Field
Software Engineering / Software engineer (general)
Stated pay
USD 500,000–850,000 / year
Posted
2026-09-29 (47 days ago)
Visa sponsorship mentioned
Yes
Listing source
Greenhouse

PythonKubernetesC++RustGo

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 Reinforcement learning is how Claude learns to reason, write code, and act autonomously over long horizons. At frontier scale, an RL run is an unusually demanding distributed system. Training, sampling, and environment execution run concurrently across a large fleet of accelerators and hosts, exchange data continuously, and have to keep making…

Excerpt only. Read the full description and apply at the original posting on Greenhouse. We list jobs from public job-board feeds and do not alter employer content beyond this excerpt.

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