Thinking Machines Lab
Research, General Agents
San Francisco
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About the role
- This role is responsible for advancing the agentic capabilities of our models, with ownership spanning the full development cycle.
- Note: This is an "evergreen role" that we keep open on an on-going basis to express interest in this research area.
- We receive many applications, and there may not always be an immediate role that aligns perfectly with your experience and skills.
Responsibilities
- Build a synthetic data framework used across the team, and create new task environments to scale training across agentic capabilities such as tool use, long-horizon tasks, and complex workflows.
- Ability to design, run, and interpret experiments with scientific rigor and clarity.
- Experience building synthetic data pipelines and systems that were adopted by others on your team and remain in use today.
- We believe the future worth building is human, and we're hiring people who want to build it.
Requirements
- Strong engineering skills, ability to contribute code and debug in complex codebases.
- Clarity in communication, an ability to explain complex technical concepts in writing.
- Experience owning the end-to-end cycle of identifying gaps in model usability and closing them through custom evaluations and training data.
- Experience making large-scale agentic RL infrastructure reliable given the long tail of failures that surface at scale.
- Experience improving the agentic capabilities of a frontier model.
Nice to have
- we encourage you to apply even if you don't meet all preferred qualifications, but at least some:
Compensation
- Depending on background, skills and experience, the expected annual salary range for this position is $350,000 - $475,000 USD.
Benefits
- Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.
- Proficiency in Python and familiarity with at least one deep learning framework (e.g., PyTorch, TensorFlow, or JAX).
- Bachelor's degree or equivalent experience in Computer Science, Machine Learning, Physics, Mathematics, or a related discipline with strong theoretical and empirical grounding.
Company info
- The mission of Thinking Machines is to build AI that extends human will and judgment.
- We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication.
Visa & Work Authorization
- We sponsor visas.
- While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.
This listing is sourced directly from Thinking Machines Lab's careers page and normalized into a canonical job model.