menlo - Robotics Researcher, Locomotion
Requirements
• Prior work specifically on bipedal or humanoid locomotion • Experience with whole-body control, model predictive control, or loco-manipulation • Familiarity with motion capture or real-time state estimation pipelines • Publications at RSS, ICRA, CoRL, or equivalent venues
Responsibilities
• Research, develop, and iterate on locomotion controllers and motion policies for a bipedal humanoid • Train and evaluate policies in Uranus, Menlo's in-house simulation engine, across a wide range of behaviors including walking, recovery, stair climbing, and load-bearing • Design reward functions, curriculum schedules, and training infrastructure that produce policies robust enough for real-world deployment • Drive systematic sim-to-real transfer and hardware iteration • Integrate locomotion outputs with the broader Asimov autonomy stack • Collect and analyze hardware telemetry to guide policy improvement • Contribute to open-source releases of locomotion research and Cyclotron tooling • Strong foundations in reinforcement learning, optimal control, and rigid body dynamics • Hands-on experience training and deploying locomotion or motion control policies on physical legged robots • Proficiency in Python; strong experience with JAX or PyTorch • Experience with physics simulation environments such as MuJoCo, Isaac Gym, Genesis, or equivalent • Practical track record closing the sim-to-real gap on a real platform • Ability to iterate fast, instrument failures, and make data-driven improvements
Benefits
• This is applied robotics research with real stakes -- your code runs on a physical humanoid. We open-source aggressively, so your contributions reach the broader community. You will work alongside researchers and engineers across the full stack, in a team that values shipping over presenting. Competitive compensation and equity. • You don't need deep AI expertise for every role, but we do expect everyone at Menlo to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement. When that's the case, we'll say so explicitly in the qualifications. People who thrive here don't treat AI as a novelty. They use it to think better, and make their work easier for others to build on. • Equal Opportunity and Accommodations
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