Research Engineer, Code RL (Reinforcement Learning)

📋 Description

• Design RL environments and coding tasks.
• Build reward signals and verifiers for 'good code'.
• Run training experiments on frontier models.
• Diagnose why models improve or fail on software tasks.
• Improve speed and reliability of end-to-end pipelines.
• Collaborate with alignment and frontier red teams.

🎯 Requirements

• Strong software engineering skills with deep Python expertise.
• Experience with async/concurrent programming.
• Ability to own systems end-to-end and debug across the stack.
• Balance research exploration with engineering implementation and experimental design.
• Focus on code quality, testing, and performance.
• Passion for safe, beneficial AI and responsible deployment.

🎁 Benefits

• Competitive compensation and benefits.
• Optional equity donation matching.
• Generous vacation and parental leave.
• Flexible working hours.
• Office space in San Francisco for in-person collaboration.