The Bot Company - Machine Learning: Whole-Body Control
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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.
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.
Benefits
• Base $200K – $350K • Actual compensation will depend on skills, experience, and qualifications. • Base salary is one part of the total compensation package. The role is also eligible for equity through the company’s discretionary equity program, along with a comprehensive benefits package that includes medical, dental, and vision coverage, and access to a 401(k) plan. • Upload your resume here to autofill key application fields. • Drop your resume here! • Parsing your resume. Autofilling key fields... • or drag and drop here • We are in San Francisco, and everyone comes to the office every day. If you live elsewhere, we will help you relocate, but all employees are expected to be in the office. We do not do hybrid or remote work. Is this OK with you? • Describe the most exceptional thing you have built • If you know someone at The Bot Company, also mention them here • What parts of the job description match your experience? Be specific • Are you legally authorized to work in the United States for any employer? • Do you now, or will you in the future, require employer sponsorship to legally work for our company in the United States?
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