Research Engineer, Machine Learning (Reinforcement Learning)

Highlights

• Advance RL research powering Claude's autonomy and coding capabilities.
• Build agentic models that use computers and tools for open-ended tasks.
• Pioneer RL methods to improve reasoning and scale training infrastructure.

What they offer

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

Ideal candidate

A collaborative engineer-researcher who balances exploration with building scalable systems and cares deeply about safe, beneficial AI. You enjoy pairing, quality craftsmanship, and pushing agentic capabilities forward.

Requirements

• Bachelor's degree or equivalent combination of education, training and experience in relevant field
• Proficient in Python and async/concurrent programming
• Experience with machine learning frameworks
• Industry experience in machine learning research
• Ability to balance research exploration with engineering implementation
• Strong systems design and communication skills with focus on code quality, testing and performance
• Passionate about safe and beneficial AI