Research, Mid Training
Thinking Machines Lab · San Francisco
CHECKED 13H AGO
Frontier labonsite$350k–$475k
At a glance
Highlights
- Own mid-training that shapes base models into reasoning foundations.
- Build pipelines to filter, verify, and synthesize training-grade data.
- Design recipes, mixes, and evals to uplift knowledge and capabilities.
What they offer
- Generous health, dental, and vision benefits
- Unlimited PTO
- Paid parental leave
- Relocation support as needed
Ideal candidate
A researcher-engineer who lives at the pre-training to post-training boundary and obsesses over data quality. You care about what models fundamentally know and want to shape core reasoning capabilities through experimentation.
Requirements
- Proficiency in Python and familiarity with deep learning frameworks (e.g., PyTorch, TensorFlow, or JAX)
- Comfort debugging distributed training and writing scalable code
- 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
- 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