Research Engineer, Code RL (Reinforcement Learning)

Highlights

• Advance Claude to write, test, debug and ship real software end to end.
• Design RL environments and verifiers that define what good code means.
• Train frontier models for long-horizon autonomous software engineering.

What they offer

• Competitive compensation and benefits
• Optional equity donation matching
• Generous vacation and parental leave
• Flexible working hours
• Lovely office space for collaboration

Ideal candidate

Strong software engineer who owns systems end to end and cares deeply about code quality and testing. Passionate about advancing AI coding capabilities safely through rigorous experimentation.

Requirements

• Strong software-engineering skills and deep Python expertise, including async/concurrent programming
• Comfortable owning systems end to end and debugging across the stack
• Able to balance research exploration with engineering implementation and rigorous experimental design
• Care about code quality, testing, and performance
• Passionate about safe and beneficial AI impact
• Bachelor's degree or equivalent combination of education, training and/or experience in a relevant field