Depth of curiosity
Ask why a system behaves the way it does. Look beyond the first promising result.
Join our team
Curiosity, meet
real-world constraints.
For people who want to understand how intelligence works—and do the engineering that makes it useful.
Introduce yourselfThe kind of work we care about
Bring your questions.
Build something testable.
Our work spans sequential learning, generative motion, simulation, and humanoid control. We value people who follow a problem across those boundaries, make their assumptions visible, and learn from the results.
Care in the details
Notice the coordinate frame, the observation history, the reward term, and the timing constraint.
Evidence over certainty
Build useful baselines. Document failures. Be willing to change direction when the evidence changes.
Shared understanding
Explain your reasoning clearly and make your work understandable to the next person.
Where you could contribute
Different skills.
A connected system.
These are areas of interest within our research, rather than a list of confirmed job openings.
Machine learning &
reinforcement learning
Representations, behavioral priors, custom environments, reward design, and task adaptation.
Explore this areaRobotics &
simulation
Humanoid motion, observation alignment, actuator calibration, and robust sim-to-real evaluation.
Explore this areaResearch engineering &
deployment
Data pipelines, experiment tooling, inference runtimes, control-loop integration, and instrumentation.
Explore this areaYour introduction
Show us how
you think.
A project, a thoughtful experiment, or a difficult problem you worked through can say a lot. Tell us what you have built, what you learned, and what you want to explore next.
WORK THAT TELLS A STORY
Code, research notes, a paper, or a portfolio can help explain your approach.
APPLICATION STATUS
Get to know our work Send us an introduction and links to your work. We’ll review your application and get back to you.