Robot Learning Engineer
Adapt learned behaviour to robotic systems, connecting demonstrations, simulation and physical validation.
- Location
- Kyiv / remote
- Experience
- Senior
- Working arrangement
- Arrangement to be discussed
Requirements
- Experience with robot learning, imitation learning or embodied ML.
- Ability to work across model code, data collection and robotic interfaces.
- A disciplined approach to reproducibility and physical-system failure analysis.
Responsibilities
- Build demonstration datasets and repeatable robot-learning experiments.
- Adapt imitation-learning and vision-language-action policies to specific tasks.
- Work with engineering on deployment, instrumentation and safe test boundaries.
Useful evidence
- A robot-learning project, benchmark reproduction or relevant research contribution.
- Experience with teleoperation and real-world policy evaluation is useful.
Working terms
- Startup culture, a goal-oriented team, and a research mindset
- The opportunity to apply your engineering skills to tools and systems for fellow engineers and help shape the future of AI
- Latest-generation MacBook Pro
- An in-house GPU cluster for training and experimentation
- 20 working days of annual leave
- English courses, educational events, and conferences
- Medical insurance
Tools & systems
LeRobotopenpiIsaac LabPyTorchROS 2
Relevant experience matters more than knowing every tool listed.