Research, Post-Training
Thinking Machines Lab · San Francisco
CHECKED 12H AGO
Frontier labonsite$350k–$475k
At a glance
Highlights
- Tune post-training recipes linking datasets, stages and hyperparameters.
- Define evals and ensure metrics capture what truly matters for users.
- Publish research and share code to move the AI community forward.
What they offer
- Health, dental and vision benefits
- Unlimited PTO
- Paid parental leave
- Relocation support as needed
Ideal candidate
A researcher-engineer who loves both theory and hands-on experimentation and wants to shape how AI learns to be useful, safe, and collaborative with humans.
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, ability to explain complex technical concepts in writing
- visa sponsorship
- We sponsor visas
- hiring process
- Evergreen role kept open on an ongoing basis; applications reviewed continuously with outreach as new opportunities open.
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