
Job Description
The Mission
Thesis is building Darwin, a humanoid robot for the home.
Our goal is to deploy capable robots into real homes, learn from their experience, and continuously improve their ability to perform useful everyday tasks.
As a Member of Technical Staff, you will help build Darwin end-to-end, from the AI that controls the robot to the hardware and systems that bring it into the physical world.
What You’ll Work On
- Robot Learning: Adapt vision-language-action models for robot control and train action policies using imitation learning, diffusion, flow matching, and related methods.
- Robot Systems: Integrate sensors, actuators, compute, electronics, and software into a reliable physical robot.
- Mechanical Engineering & Mechatronics: Design and prototype mechanisms, structures, joints, actuators, and electromechanical systems.
- Perception & Control: Build perception, planning, and control systems for reliable interaction with the physical world.
- Real-World Data: Build systems for collecting and learning from large-scale robot experience.
- Simulation & Evaluation: Build environments and evaluations for measuring and improving robot capabilities.
Who You Are
We seek exceptional, high-agency engineers and researchers who can hit the ground running.
You have deep expertise in at least one area relevant to building intelligent robots, including robot learning, mechanical or electrical engineering, perception and controls, or robotics and ML systems.
You move quickly from ideas to working systems and are comfortable testing your work on real hardware.
If you believe you can make an exceptional contribution to the mission, we want to hear from you.
Work Eligibility
Candidates must be authorized to work in the United States. We do not currently sponsor work visas.
Interview Process
- Introductory Call (1 hr)
- ML + Systems Design challenge (1hr 30)
- Paid 1 week trial, in person
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Job Details
- Category
- Mechanical
- Employment Type
- Full Time
- Location
- San Francisco, CA
- Posted
- Last updated
- Sep 3, 2026, 12:40 AM
- Compensation
- $120,000 - $170,000 per year
About Thesis
We are accelerating AI research and development. Our aim is to help researchers uncover the next AlphaFold or build the next Transformer, faster, more systematically, and at scale. We treat discovery not as a matter of luck, but as an intelligent search problem. By giving researchers access to an autonomous AI research lab, Thesis lets you build powerful machine learning models for anything imaginable. Every major breakthrough in AI over the next decade will be made on Thesis.
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