Research Engineer (Reinforcement Learning)

📋 Description

• Join a small, senior team building voice- and text-driven AI agents.
• Focus on post-training models for capable, reliable long-running interactions.
• Work across environments, verifiers, synthetic data, training runs, and production deployment.
• Address persistent context, reliable tool use, and multi-turn behavior.

🎯 Requirements

• Strong Python engineering for production-quality systems.
• Experience taking ML models from data to production.
• Data-centric mindset: coverage, quality, and leakage control.
• Design robust rewards, verifiers, and evaluation mechanisms.
• GPU experience and awareness of GPU limits.
• Good judgment on whether to train or use simpler approaches.

🎁 Benefits

• Impact on a fast-growing developer platform.
• Collaborative, ownership-driven team culture.
• Competitive salary and equity.
• Health, dental, and vision benefits.
• Flexible vacation policy.
• Remote-friendly environment with autonomy.