Research, Finetuning Science
Thinking Machines Lab · San Francisco
CHECKED 12H AGO
Frontier labonsite$350k–$475k
At a glance
Highlights
- Advance the science of fine-tuning and frontier post-training techniques.
- Ship research into Tinker to shape training defaults and cookbook recipes.
- Improve stability and reliability of large-scale fine-tuning and RL runs.
What they offer
- Generous health, dental, and vision benefits
- Unlimited PTO
- Paid parental leave
- Relocation support as needed
Ideal candidate
A deeply curious researcher with strong ML fundamentals who loves debugging large-scale training and turning experiments into reliable products. You communicate clearly in writing and care about enabling people to make AI their own.
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 code that scales
- Clarity in communication and ability to explain complex technical concepts in writing
- Strong interest in mission to enable custom models
- 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