Research, RL Scaling
Thinking Machines Lab · San Francisco
CHECKED 13H AGO
Frontier labonsite$350k–$475k
At a glance
Highlights
- Co-design RL recipes and systems together at frontier scale.
- Advance asynchronous RL where generation is decoupled from training.
- Own frontier RL runs end to end and keep large fleets healthy.
What they offer
- Generous health, dental, and vision benefits
- Unlimited PTO
- Paid parental leave
- Relocation support as needed
Ideal candidate
A systems-minded RL researcher who wants to own training from algorithm to large-scale runs and finds headroom in async design, efficiency, and careful empirical science.
Requirements
- Proficiency in Python and familiarity with PyTorch, TensorFlow, or JAX
- Comfortable debugging distributed training and writing code that scales
- Bachelor's degree or equivalent in Computer Science, Machine Learning, Physics, Mathematics or related discipline
- Clarity in communication and explaining complex technical concepts in writing
- Strong research judgment with clean ablations, honest baselines, and clear writing
- visa sponsorship
- We sponsor visas
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