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Senior Member of Technical Staff: Reinforcement Learning for Wholebody Control (Robotics)

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Senior Member of Technical Staff: Reinforcement Learning for Wholebody Control (Robotics): Developing and deploying reinforcement-learning policies for humanoid whole-body motion, including balance, locomotion, and coordinated manipulation, with an accent on sim-to-real transfer and integration with classical control. Focus on building scalable training and deployment infrastructure, transferring policies to physical robots, and designing safe evaluation for reliable field behavior.

Location: Cambridge, MA, United States

Company

hirify.global is building general-purpose humanoid robots for use in homes, workplaces, factories, farms, and other environments.

What you will do

  • Design, train, and tune reinforcement-learning policies for humanoid balance, locomotion, and coordinated manipulation.
  • Integrate learned policies with classical and model-based control and high-level motion commands.
  • Own the sim-to-real pipeline, including domain randomization, system identification, hardware transfer, and real-robot debugging.
  • Build infrastructure for repeatable policy training, evaluation, versioning, and deployment.
  • Develop rigorous simulation and hardware evaluation, ensuring safe behavior and graceful degradation.
  • Collaborate with controls, hardware, simulation, and AI engineers across the robot software stack.

Requirements

  • Proven experience developing and training reinforcement-learning policies for continuous control.
  • Demonstrated success transferring learned policies from simulation to physical robots and deploying them on real hardware.
  • Strong grounding in control theory, robot dynamics, and learned/model-based control integration.
  • Hands-on experience with GPU-accelerated simulation at scale.
  • Strong Python and working C++ skills for training and deployment infrastructure.
  • Experience with whole-body control, locomotion, or manipulation on humanoid, legged, or similarly high-DOF robots.

Nice to have

  • Experience with model predictive control, whole-body QP controllers, or trajectory optimization.
  • Background in system identification, actuator modeling, or contact-rich dynamics.
  • Experience with large-scale ML training infrastructure and experiment tracking.
  • Familiarity with imitation learning, teleoperation data, or learning from demonstration.
  • Publications or demonstrated results in legged locomotion or whole-body control.

Culture & Benefits

  • Competitive total compensation with salary, annual cash bonus, and company equity.
  • Company-subsidized insurance programs and a 401(k) with company match.
  • Flexible paid time off and daily lunch.
  • Collaborative environment grounded in humility and creative technical work.
  • hirify.global participates in E-Verify; employment authorization documents are verified after an offer through the Form I-9 process.

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