Anthropic

3 months ago

Research Engineer, Machine Learning (RL Velocity)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 29 minutes agoStatus: Live

Job Summary

Build and improve the RL training infrastructure at Anthropic, removing bottlenecks and accelerating research. You’ll own end-to-end reliability of experiments, collaborate with ML researchers and adjacent engineering teams, and shape the RL platform at scale. Ideal for engineers with strong software foundations who enjoy shipping high-impact tooling for large-scale AI research.

Location: San Francisco, New York

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Build and improve the RL training infrastructure that researchers depend on day-to-day
•Identify and remove bottlenecks across the RL stack: debugging, profiling, and rearchitecting where needed
•Partner closely with researchers and with adjacent engineering teams to understand pain points and ship tooling that makes them faster
•Own the reliability and performance of research runs end-to-end
•Contribute to design decisions that shape how Anthropic does RL at scale

Pay and Benefits

Salary: USD 500,000 - 850,000 annually

Key Requirements

•Build and improve the RL training infrastructure that researchers depend on day-to-day
•Identify and remove bottlenecks across the RL stack: debugging, profiling, and rearchitecting where needed
•Partner closely with researchers and with adjacent engineering teams to understand pain points and ship tooling that makes them faster
•Own the reliability and performance of research runs end-to-end
•Contribute to design decisions that shape how Anthropic does RL at scale

Experience:AIML infrastructure

Education:Bachelor's

Skills:JAXPyTorchDistributed systemsReinforcement learningSoftware engineering

Languages:English

Tech Stack:JAXPyTorchDistributed systemsPythonRL

Company Brief

Anthropic

Develops large-scale AI systems and safety research to create reliable, steerable, and interpretable AI assistants and models for commercial and research applications.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series C

Headquarters: San Francisco, United States

Founded: 2021

Website LinkedIn

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Anthropic

3 months ago

Research Engineer, Machine Learning (RL Velocity)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 29 minutes agoStatus: Live

Job Summary

Location: San Francisco, New York

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Build and improve the RL training infrastructure that researchers depend on day-to-day
•Identify and remove bottlenecks across the RL stack: debugging, profiling, and rearchitecting where needed
•Partner closely with researchers and with adjacent engineering teams to understand pain points and ship tooling that makes them faster
•Own the reliability and performance of research runs end-to-end
•Contribute to design decisions that shape how Anthropic does RL at scale

Pay and Benefits

Salary: USD 500,000 - 850,000 annually

Key Requirements

•Build and improve the RL training infrastructure that researchers depend on day-to-day
•Identify and remove bottlenecks across the RL stack: debugging, profiling, and rearchitecting where needed
•Partner closely with researchers and with adjacent engineering teams to understand pain points and ship tooling that makes them faster
•Own the reliability and performance of research runs end-to-end
•Contribute to design decisions that shape how Anthropic does RL at scale

Experience:AIML infrastructure

Education:Bachelor's

Skills:JAXPyTorchDistributed systemsReinforcement learningSoftware engineering

Languages:English

Tech Stack:JAXPyTorchDistributed systemsPythonRL

Company Brief

Anthropic

Develops large-scale AI systems and safety research to create reliable, steerable, and interpretable AI assistants and models for commercial and research applications.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series C

Headquarters: San Francisco, United States

Founded: 2021

Website LinkedIn