Robot Learning Engineer

The role

You will create a training corpus for manipulation policies by defining capture specifications and building an evaluation harness. You will post-train open robot-learning models on collected data to enable robot work in fulfilment centres.

What you will do

• Write the capture spec for cameras, mounts, and calibration.
• Own how hand pose is measured to close the gap between human video and robot policies.
• Build the evaluation harness to decide which hours of footage are trainable.
• Post-train open robot-learning models on collected data.
• Run the first task evaluations.
• Reproduce claims from published work to steer capture before spending money.
• Direct agents for harness code, data plumbing, and reproduction scripts.

Required qualifications

• PyTorch
• Computer vision with real 3D geometry
• Camera calibration
• Pose estimation
• SLAM fundamentals
• Ability to read a paper and reproduce it
• Familiarity with the current robot-learning stack and policy classes
• Experience training on data collected yourself

Nice to have

• Hand-pose estimation or egocentric video in production
• Multi-camera rigs and time sync
• Experience post-training robot-learning models
• ROS 2

About the company

Rohlik is the leading Central European e-grocer. They are building an autonomous grocer using AI assistants, agents, and robots in fulfilment centres.