# ML, Reinforcement Learning at Genki Robotics

- Company: Genki Robotics
- What the company does: Backed by a16z.
- Company website: https://genki.com
- Type: Startups (AI role)
- Level: Mid level
- Location: Redwood City
- Work setup: On-site
- Posted: 2026-10-15
- Apply by: 2026-11-29
- Apply: https://jobs.ashbyhq.com/genki/c7bd81cd-b369-4e25-9cd6-de295d14fe37?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/genki-robotics-ml-reinforcement-learning/

## About the role

You will own reinforcement learning across our stack, from locomotion policies to RL applied on top of learned behaviors. The research problems here are open ones: whole-body control under contact, sim-to-real transfer that holds up in environments we have never seen, and learning from a growing body of real-world robot experience. 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 reinforcement learning, robotics, or a closely related field from a group doing leading work, or equivalent research experience at a frontier lab
- Depth in RL fundamentals: policy optimization, value methods, model-based and offline RL, and the practical failure modes of each
- Research contributions that others build on: publications at leading venues, or widely used open source work. You have moved the state of the art, not only kept up with it
- Experience training policies that ran on physical systems, and the judgment that comes from watching them fail
- Strong engineering skills. RL at scale is an infrastructure problem as much as an algorithms problem
- Experience with partial observability and environment variability, where the policy has to work in conditions it was not trained on

Tags: Engineering

Source: 1752vc Careers, https://www.1752.vc/careers/jobs/genki-robotics-ml-reinforcement-learning/