Research Engineer (Reinforcement Learning)

📋 Description

• Build training environments, verifiers, and supporting infra for post-training models
• Own the synthetic data pipeline from data generation through QA
• Run end-to-end training experiments, analyze results, identify drivers
• Design and maintain evaluations for production releases
• Select/adapt open-weight foundation models for requirements
• Develop trained behaviors for voice and text agents

🎯 Requirements

• Strong Python engineering skills for production-quality systems
• Experience taking ML models from data to production
• Data-centric mindset: coverage, quality, leakage avoidance
• Ability to design robust rewards, verifiers, evaluations
• Practical experience with GPUs and their constraints
• Judgment on when training is right vs simpler approach

🎁 Benefits

• Impact on a fast-growing developer platform
• Collaboration with a small, experienced team
• Competitive salary and equity package
• Health, dental, vision benefits
• Flexible vacation policy
• Remote-friendly environment with autonomy