Connectionism: Research Blog by Thinking Machines Lab. Backed by a16z, Accel and GV.
About the role
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.
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). Comfortable with debugging distributed training and writing code that scales
- 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
- Preferred qualifications — we encourage you to apply even if you don’t meet all preferred qualifications, but at least some:
- Experience building synthetic data pipelines and systems that were adopted by others on your team and remain in use today
More about this role
The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication. We believe the future worth building is human, and we're hiring people who want to build it.
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.
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...
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