Research, RL Scaling
Thinking Machines Lab · San Francisco
Frontier labonsite$350k–$475k
At a glance
Highlights
- Co-design RL recipes and systems to scale frontier-model training.
- Advance asynchronous RL with generation decoupled from training.
- Own frontier-scale RL runs end to end, from recipe to run health.
What they offer
- Generous health, dental, and vision benefits
- Unlimited PTO
- Paid parental leave
- Relocation support as needed
Ideal candidate
A researcher who lives at the ML-systems boundary and cares about scaling RL through rigorous empirical science and full-stack ownership of large runs.
Requirements
- Proficiency in Python and familiarity with at least one deep learning framework (e.g., PyTorch, TensorFlow, or JAX)
- Comfortable with debugging distributed training and writing code that scales
- Bachelor's degree or equivalent experience in Computer Science, Machine Learning, Physics, Mathematics, or related discipline
- Clarity in communication and ability to explain complex technical concepts in writing
- Strong research judgment: clean ablations, honest baselines, and clear technical 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
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