Machine Learning: Whole-Body Control

Reposted Yesterday
Be an Early Applicant
San Francisco, CA, USA
In-Office
200K-350K Annually
Mid level
Information Technology • Robotics • Software
The Role
Develop and train whole-body control policies for locomotion and manipulation, build scalable simulation environments, design rewards and curricula, own sim-to-real transfer, and run large-scale GPU training experiments.
Summary Generated by Built In
The Bot Company

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.

What we look for in all candidates

All roles at The Bot Company demand extreme sharpness and the ability to move fast in high-intensity environments. Throughout the process, we expect candidates to demonstrate:

  • Exceptional mental acuity: you think quickly, learn instantly, and reason across unfamiliar domains.

  • Engineering curiosity: you naturally dig into how systems work, even outside your specialty.

  • High performance mindset: you move fast, handle ambiguity, and excel when the environment is demanding.

Machine Learning: Whole-Body Control

We are building high-performance whole-body controllers that produce robust, agile motion and manipulation in the real world.

You will train low-level control policies in simulation and own the stack from environment design to large-scale training and sim-to-real deployment.

What You'll Do
  • 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.

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.

Why Join

You’ll work with a small, elite team on challenges that require speed, intelligence, and deep engineering instinct. If you enjoy understanding systems at all levels, move fast, and think even faster, you’ll thrive here.

Skills Required

  • Very strong coding skills in Python, C++, or Rust
  • CUDA experience
  • Strong foundations in modern reinforcement learning
  • Experience training embodied control policies
  • Hands-on robotics simulation experience (IsaacLab, MuJoCo, or similar)
  • Solid intuition for dynamics, contact, and actuation
  • Comfortable running large-scale GPU training experiments
Am I A Good Fit?
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The Company
79 Employees

What We Do

We're building a helpful robot for every home. For the first time, the dream of robots doing all the little things that eat away at our time and energy is no longer science fiction. A better way to live is coming. 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. We are backed by Greenoaks, NFDG, Spark, Eclipse, Kleiner Perkins, Y Combinator, and many others who share our belief that robots belong in our everyday lives.

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