Research, General Agents
Thinking Machines Lab · San Francisco
Frontier labonsite$400k–$500k
At a glance
Highlights
- Advance agentic capabilities of frontier models with full-cycle ownership.
- Build synthetic data framework scaling tool use and long-horizon tasks.
- Translate internal and external feedback into model improvements.
What they offer
- Generous health, dental, and vision benefits
- Unlimited PTO
- Paid parental leave
- Relocation support as needed
- Equity
Ideal candidate
A rigorous engineer-researcher who thrives with autonomy on a small team and cares about making frontier agents truly usable and reliable.
Requirements
- Strong engineering skills, ability to contribute code and debug in complex codebases
- Ability to design, run, and interpret experiments with scientific rigor and clarity
- 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 a related discipline
- Clarity in communication, ability to explain complex technical concepts in writing
- visa sponsorship
- We sponsor visas
- hiring process
- Evergreen role reviewed continuously as new opportunities open; please avoid reapplying more than once every 6 months.
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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