Research Software Engineer, Post Training
- Pay
- $350,000 – $475,000 per year
- Location
- San Francisco, CA · On-site
- Job type
- Full-time
- Level
- Senior
- Education
- Bachelor's degree
- Listed
- 22 days ago
Skills & highlights for this role
- Python
- sandboxed execution environments
- data pipelines
- agent scaffolding
Also useful
- PyTorch
- TensorFlow
- JAX
- containerized execution
Stated benefits & perks
- Health
- Dental
- Vision
- Unlimited pto
- Parental leave
About the Role
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.
Minimum qualifications
- 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.
Additional information
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).
Logistics
- Location: This role is based in San Francisco, California.
- Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $350,000 - $475,000 USD.
- Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.
- Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.
About Thinking Machines
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.
Equal opportunity and legal notices
As set forth in Thinking Machines' Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
From Thinking Machines Lab's careers page, first listed on Rolev.ai on October 17, 2026. Rolev.ai is not the employer.
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Common questions
What is the salary for the Research Software Engineer, Post Training role at Thinking Machines Lab?
The Research Software Engineer, Post Training posting at Thinking Machines Lab states compensation of $350,000 – $475,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Thinking Machines Lab's official career site.
Where is the Research Software Engineer, Post Training job at Thinking Machines Lab located?
This Research Software Engineer, Post Training position at Thinking Machines Lab is located in San Francisco, CA (On-site). Always check Thinking Machines Lab's application page for specific state eligibility or relocation policies.
What qualifications are required for Research Software Engineer, Post Training at Thinking Machines Lab?
For the Research Software Engineer, Post Training role, Thinking Machines Lab highlights a bachelor's degree; experience with Python, sandboxed execution environments, data pipelines, agent scaffolding. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Research Software Engineer, Post Training position at Thinking Machines Lab?
This listing links directly to Thinking Machines Lab's Ashby application page. You can apply directly on Thinking Machines Lab's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.