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Anthropic

Research Engineer, Machine Learning – RL Velocity

Anthropic

. Build and improve RL training infrastructure .

Posted 4/23/2026full-timeSan Francisco • California, New York • 🇺🇸 United StatesMid-LevelSenior💰 $500,000 - $850,000 per yearWebsite

Tech Stack

Tools & technologies
Distributed Systems

About the role

Key responsibilities & impact
  • Build and improve RL training infrastructure
  • Identify and remove bottlenecks across the RL stack
  • Partner with researchers and engineering teams
  • Own reliability and performance of research runs

Requirements

What you’ll need
  • Strong software engineering fundamentals
  • Experience with ML infrastructure or distributed systems
  • Comfortable across the stack
  • Bias towards shipping and iterating quickly

Benefits

Comp & perks
  • Competitive compensation
  • Generous vacation
  • Parental leave
  • Flexible working hours
  • Lovely office space

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
reinforcement learningmachine learning infrastructuredistributed systemssoftware engineeringperformance optimizationreliability engineering
Soft Skills
collaborationproblem-solvingadaptabilitycommunicationownership