- Robot type
- Service and Consumer
- Location
- San FranciscoCaliforniaUSA
- Job type
- Artificial Intelligence
- Posted
- Feb 25, 2026
- Salary
- $200,000–$350,000 a year
Machine Learning: Whole-Body Control
Job description
We're building a helpful robot for every home.
We're a small team of engineers, designers, and operators based in San Francisco. Our team comes from Tesla, Cruise, OpenAI, Google, Pixar, and many other great companies. In the past we've shipped to hundreds of millions of users and know what it takes to build amazing products and experiences.
Our team is deliberately lean to promote rapid decision making and do away with bureaucracy and hierarchy. Everyone is an IC and is empowered with massive scope, radical ownership, and direct responsibility. We work across the stack with a culture built for rapid iteration and fast execution.
All roles at The Bot Company demand extreme sharpness and the…
Job responsibilities
- Train whole-body policies for locomotion, manipulation, and coordinated motion.
- Build scalable simulation environments in IsaacLab, MuJoCo, or similar with parallel rollouts.
- Design rewards and curricula that enable stable long-horizon learning.
- Own sim-to-real transfer using domain randomization and structured evaluation.
- Run and debug large-scale GPU training experiments.
Job requirements
- Very strong coding skills in Python, C++, or Rust. CUDA is a plus.
- Strong foundations in modern reinforcement learning.
- Experience training embodied control policies.
- Hands-on robotics simulation experience.
- Solid intuition for dynamics, contact, and actuation.
- Comfortable running large-scale GPU experiments.
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