Research, Tinker, RL Systems
Thinking Machines Lab · San Francisco
CHECKED 13H AGO
Frontier labonsite$350k–$475k
At a glance
Highlights
- Build Tinker's post-training engine to let anyone customize frontier AI models.
- Co-design RL algorithms and training systems from science down to kernels.
- Debug RL runs in the wild and help users reach frontier-level results.
What they offer
- health, dental, and vision benefits
- unlimited PTO
- paid parental leave
- relocation support
Ideal candidate
ML researcher who loves full-stack training systems and RL science, eager to debug large runs with users and open frontier customization to everyone.
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 (e.g., PyTorch, TensorFlow, or JAX)
- Comfort debugging distributed training and writing code that scales
- Clarity in communication, ability to explain complex technical concepts in writing
- Strong interest in working on Tinker and increasing usefulness and adoption
- 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