Research, Coding Agents

Job summary

Responsibilities

Note: This is an "evergreen role" that we keep open on an on-going basis to express interest in this research area. We receive many applications, and there may not always be an immediate role that aligns perfectly with your experience and skills. Still, we encourage you to apply.

• The Coding Agents team makes our models world-class at agentic coding — writing, debugging, and reasoning about code across long-horizon, multi-turn tasks.
• You'll join a small, high-leverage team responsible for the recipes, data, and infrastructure behind coding capability gains in every model release.
• The team owns the full coding post-training stack: synthetic and human data generation, RL environments and sandboxes, reward and grading design, and large-scale training runs.
• This is a research role with real ownership — you'll shape technical direction, not just execute against a spec.
• Design and run RL training jobs targeting agentic coding capabilities, iterating on recipes and data.

What they're looking for

• Strong engineering skills, ability to contribute code and debug in complex codebases.
• Proficiency in Python and familiarity with at least one deep learning framework (e.g., PyTorch, TensorFlow, or JAX).
• Bachelor’s degree or equivalent experience in Computer Science, Machine Learning, Physics, Mathematics, or a related discipline with strong theoretical and empirical grounding.
• Clarity in communication, an ability to explain complex technical concepts in writing.
• Experience building synthetic data pipelines and systems that were adopted by others on your team and remain in use today.

Tech stack

• Python
• PyTorch
• TensorFlow
• JAX