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# Research Software Engineer, Post Training

- **Company:** Thinking Machines Lab Inc.
- **Location:** San Francisco, CA, United States
- **Salary:** $350,000
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Programming, Computer Literacy, Software Debugging, Python (Programming Language), Machine Learning, Tensorflow, Software Engineering, Pytorch, Deep Learning, Information Technology, Data Management, Software Coding, Data Pipelines
- **Published:** November 14, 2026
- **Apply:** https://www.careerbuilder.com/job-details/research-software-engineer-post-training-san-francisco-ca--e7da7cb0-ddf4-4159-9ba1-826389c74ffc

## About the Role

Software Engineering, Artificial Intelligence (AI), Data Management, Scaffolding, Computer Science, Machine Learning, Mathematics, Physics, Computer Skills, Computer Programming, * Bachelor's degree or equivalent experience in Computer Science, Machine Learning, Physics, Mathematics, or a related discipline with strong theoretical and empirical grounding.

 * Experience leading projects end to end, working in large fast-moving codebases, and writing code others have depended and built on.
 * Strong proficiency in Python and strong engineering fundamentals, with experience debugging systems that fail intermittently and at scale.
 * Clarity in communication, an ability to explain complex technical concepts in writing.
 * Strong autonomous drive to progress towards the team's goals with an ownership mindset.

Preferred qualifications - we encourage you to apply even if you don't meet all preferred qualifications, but preferably some:

 * Experience building or iterating with sandboxed or containerized execution environments at a large scale.
 * Experience in a role where the team's priorities set yours, and a track record of success in such a role.
 * Familiarity with at least one deep learning framework (e.g., PyTorch, TensorFlow, or JAX).

## Description

This role is responsible for building and strengthening the engineering foundations that our post-training research teams depend on. You'll embed within a research team, and build or improve the systems required for the team to succeed. Our research teams are small, and the role carries a corresponding degree of autonomy and responsibility.

What You'll Do

 * Embed within a research team to build, harden, and improve the systems and infrastructure required for the team to succeed.
 * Design, build, and operate infrastructure research teams depend on, including RL training systems, sandboxing, data pipelines, and agent scaffolding.