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Added 23 hours ago
TM
Security Engineer, Detection & Response
Thinking Machines Lab
San Francisco, CA
- $300,000 to $350,000 USD / year
Added 23 hours ago
TM
Software Engineer, Privacy & Data Governance
Thinking Machines Lab
San Francisco, CA
- $300,000 to $350,000 USD / year
Added 8 days ago
TM
Research, Tinker, RL Systems
Thinking Machines Lab
San Francisco, CA
- $350,000 to $475,000 USD / year
Added 9 days ago
TM
Tinkerer
Thinking Machines Lab
San Francisco, CA
- $300,000 to $350,000 USD / year
Added 13 days ago
TM
GTM Recruiter
Thinking Machines Lab
San Francisco, CA
- $220,000 to $275,000 USD / year
Added 17 days ago
TM
Technical Program Manager, Supercomputing
Thinking Machines Lab
San Francisco, CA
- $350,000 to $475,000 USD / year
Added 17 days ago
TM
Developer Relations Engineer
Thinking Machines Lab
San Francisco, CA
- $300,000 to $350,000 USD / year
Added 17 days ago
TM
Executive Business Partner, Operations
Thinking Machines Lab
San Francisco, CA
- $200,000 to $240,000 USD / year
Added 17 days ago
TM
People Operations
Thinking Machines Lab
San Francisco, CA
- $275,000 to $325,000 USD / year
Added 17 days ago
TM
Model Designer
Thinking Machines Lab
San Francisco, CA
- $300,000 to $400,000 USD / year
Added 17 days ago
TM
Research Engineer, Web Crawling
Thinking Machines Lab
San Francisco, CA · New York City, NY
- $350,000 to $475,000 USD / year
Added 17 days ago
TM
Research, Mid Training
Thinking Machines Lab
San Francisco, CA
- $350,000 to $475,000 USD / year
Added 17 days ago
TM
Product Policy
Thinking Machines Lab
San Francisco, CA
- $300,000 to $360,000 USD / year
Added 17 days ago
TM
Global Public Policy
Thinking Machines Lab
San Francisco, CA · Washington, DC
- $300,000 to $360,000 USD / year
Added 17 days ago
TM
Research, Finetuning Science
Thinking Machines Lab
San Francisco, CA
- $350,000 to $475,000 USD / year
Added 17 days ago
TM
Research Lead, Tinker, Fine-tuning Science
Thinking Machines Lab
San Francisco, CA
- $350,000 to $475,000 USD / year
Added 17 days ago
TM
Research Software Engineer, Post Training
Thinking Machines Lab
San Francisco, CA
- $350,000 to $475,000 USD / year
Added 17 days ago
TM
Product Manager - Post Training
Thinking Machines Lab
San Francisco, CA
- $350,000 to $400,000 USD / year
Added 17 days ago
TM
Software Engineer, Product
Thinking Machines Lab
San Francisco, CA · New York City, NY
- $300,000 to $350,000 USD / year
Added 17 days ago
TM
Software Engineer, Research Tools
Thinking Machines Lab
San Francisco, CA · New York City, NY
- $300,000 to $350,000 USD / year
Added 17 days ago
TM
Software Engineer, Evaluation Platform / Infra
Thinking Machines Lab
San Francisco, CA · New York City, NY
- $300,000 to $350,000 USD / year
Added 17 days ago
TM
Research, Coding Agents
Thinking Machines Lab
San Francisco, CA
- $350,000 to $475,000 USD / year
Added 17 days ago
TM
Research, Post-Training Evals
Thinking Machines Lab
San Francisco, CA
- $350,000 to $475,000 USD / year
Added 17 days ago
TM
Data Partnerships
Thinking Machines Lab
San Francisco, CA
- $300,000 to $350,000 USD / year
Added 17 days ago
TM
Research, RL Scaling
Thinking Machines Lab
San Francisco, CA
- $350,000 to $475,000 USD / year

Thinking Machines Lab

Research Software Engineer, Post Training

San Francisco, CA, United States

$350,000 to $475,000 USD / year

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Job details

Pay: $350,000 to $475,000 USD / year
Posting language: English
Posted: Sep 9, 2026

Original job description

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.

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.

SKILLS AND QUALIFICATIONS

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.

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.

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.

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More about this job

Skills

Research
Computer science
Machine learning
Python
Debugging
Communication skills
Deep learning
PyTorch
TensorFlow
Logistics

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