Member of Technical Staff – Engineer, RL and Control (Robotics)

Location: Cambridge, MA, United States

Company

hirify.global develops general-purpose humanoid robots for use at home, at work, in factories, on farms, and beyond.

What you will do

• Train, tune, and evaluate reinforcement learning policies for balance, locomotion, manipulation, and other whole-body control tasks.
• Set up and run large-scale physics simulation experiments, analyze results, and iterate on policy designs.
• Support the sim-to-real pipeline through domain randomization, system identification, and hardware transfer.
• Bring controllers up on physical robots, run experiments, and debug real-world behavior.
• Build and improve tools for evaluating controller performance in simulation and on hardware.
• Collaborate with senior reinforcement learning, controls, hardware, and robotics engineers while owning workstreams end-to-end.

Requirements

• Strong foundations in reinforcement learning or optimization-based/model-based control.
• Hands-on experience with policy optimization, reward shaping, domain randomization, demonstration-guided reinforcement learning, trajectory optimization, MPC, QP-based control, inverse kinematics, or differential IK.
• Understanding of robot dynamics, kinematics, coordinate frames, PID control, and stiffness or impedance control.
• Experience bringing up, testing, or debugging controllers on physical robots.
• Strong Python skills and ability to write clean, testable code; working C++ ability or willingness to develop it.
• Experience implementing and running robotics or reinforcement learning experiments in physics simulation, such as Drake or MuJoCo.

Nice to have

• Experience with whole-body control, locomotion, or manipulation on legged or humanoid robots.
• Familiarity with practical sim-to-real challenges and machine learning experiment-tracking workflows.
• Experience with classical or model-based control, including MPC, QP controllers, or trajectory optimization.
• Experience with PyTorch, Warp, JAX, GPU programming, or state-of-the-art machine learning frameworks.
• Coursework, projects, or publications in robotics, reinforcement learning, or control.

Culture & Benefits

• Collaborative environment grounded in humility, curiosity, and creative technical work.
• Salary, annual cash bonus, and company equity.
• Company-subsidized insurance programs and a 401(k) with company match.
• Flexible PTO and daily lunch.
• Employment authorization is verified through E-Verify after an offer is made.