Principal AI Research Engineer - World Models
Reflex Roboticsover 1 year ago
San Francisco, CA, USA or New York, NY, USAStaff+
Responsibilities
- Architect and train large-scale video and world models for robotics.
- Develop controllable simulators using action- and state-conditioned generative rollouts.
- Build data and evaluation infrastructure for world modeling and quantify downstream policy success.
- Improve the reliability of robotic autonomy for real-world factory and warehouse deployments.
Requirements
- Experience architecting and training large-scale video or world models, such as models like Sora or Veo.
- Experience turning generative models into controllable simulators with action- and state-conditioned rollouts.
- Experience building data and evaluation stacks for world modeling and measuring downstream policy success.
- A portfolio or significant project demonstrating ambitious technical work is encouraged.
Benefits
- High ownership, high equity, and the opportunity to shape the product from the ground up.
- Opportunity to help build a flagship humanoid robotics company and work on real-world industrial automation.
Categories
AI Research
About Reflex Robotics
Reflex Robotics builds low-cost wheeled humanoid robots to automate dangerous and repetitive work in manufacturing and logistics. The company designs and manufactures its systems in-house, coupling hardware with AI trained from large-scale demonstration data, and sells robots to industrial operators. Founded in 2022 and headquartered in Brooklyn, New York, it is privately held and raised seed funding in 2023; its core team previously led work on Boston Dynamics’ Stretch and Tesla production lines.