Backed by a16z.
About the role
You will own how our robots learn new behaviors. That means both the models themselves and the pipeline that produces them: a repeatable path from demonstrations to a policy that works reliably in environments we have never seen. This is a role for someone who wants their research to run on hardware in the field rather than on a benchmark, and who is early enough in a team's life to set its technical direction. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- PhD in robot learning, machine learning, or a closely related field, from a group doing leading work in the area. Equivalent industry research experience at a frontier lab is fine
- Research contributions that others build on: publications at leading venues, or widely used open source work
- Hands-on experience running policies on real robots, not only in simulation or on benchmarks
- Depth in imitation learning: behavior cloning, diffusion or flow-based policies, action chunking, and the failure modes that come with learning from demonstrations
- Strong engineering skills. You build the training infrastructure you need rather than waiting for it
- Judgment about data: what to collect, how much, and when more data is not the answer
More about this role
Genki Robotics was founded by a team of pioneers in humanoid robotics committed to practical applications of physical AI. With decades of collective expertise, we are developing advanced robotic systems that combine intelligence, dexterity, and resilience to address critical challenges in public safety, urban maintenance, and other mission-driven environments. Our vision is to accelerate the integration of intelligent humanoids into society, augmenting human capability and shaping the future of work and service.
We’re backed by a16z, AMD, DCM, Incubate Fund, and X&KSK.
You will own how our robots learn new behaviors. That means both the models themselves and the pipeline that produces them: a repeatable path from demonstrations to a policy that works reliably in environments we have never seen.
This is a role for someone who wants their research to run on hardware in the field rather than on a benchmark, and who is early enough in a team's life to set its technical direction.
Train and ship manipulation policies for production robots.
Own the behavior acquisition pipeline end to end: demonstrations in, reliable policy out, with a measurable cost per new behavior.
Make policies...
Browse similar: AI jobs · AI startup jobs · Startup jobs · San Francisco Bay Area