💼 About This Role

You'll develop novel reinforcement learning techniques using synthetic environments and feedback to improve large-scale AI models. Your work will directly shape how frontier models are trained and deployed in production systems.

🎯 What You'll Do

• Research and develop reinforcement learning algorithms.
• Design and run experiments to study training dynamics at scale.
• Collaborate on integrating successful approaches into training pipelines.

📋 Requirements

• Strong background in reinforcement learning or machine learning research.
• Strong engineering and statistical analysis skills.
• Ability to explore new problem spaces with imperfect data and objectives.

✨ Nice to Have

• Experience with large-scale model training.
• Published research in RL or related fields.

🎁 Benefits & Perks

• 💰 Equity included in compensation.
• 🏢 Hybrid work model (3 days in office).
• 🚚 Relocation assistance available.