Research, Tinker, RL Systems
Thinking Machines Lab · San Francisco
Frontier labonsite$350k–$475k
At a glance
Highlights
- Build training systems for Tinker API to let anyone customize frontier models.
- Develop frontier customization techniques for the best post-training engine.
- Debug RL runs in the wild and optimize pipelines with frontier researchers.
What they offer
- Generous health, dental, and vision benefits
- Unlimited PTO
- Paid parental leave
- Relocation support as needed
Ideal candidate
A systems-minded researcher who loves debugging large-scale training and translating RL science into reliable platforms. You enjoy working directly with users and advancing open post-training.
Requirements
- Bachelor's degree or equivalent experience in Computer Science, Machine Learning, Physics, Mathematics or related discipline
- Proficiency in Python and familiarity with deep learning frameworks
- Comfort debugging distributed training and writing scalable code
- Clarity in communication and ability to explain complex technical concepts in writing
- Strong interest in working on Tinker and increasing usefulness and adoption
- visa sponsorship
- We sponsor visas; committed to working through the visa process together
Lab profile
About Thinking Machines Lab
Builds frontier AI that extends human will and judgment through customizable models and interfaces.
What they build
- Inkling frontier models
- Tinker model customization
- Human-AI communication interfaces
Known for
- Frontier model training
- Post-training and reinforcement learning
- Evaluation infrastructure
- GPU supercomputing and reliability
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