Group Lead AI Engineering - NEURAGym (human)

Über diese Stelle

Your mission & challenges

- Hire, mentor, and grow a high-performing team of Robotic Foundation Model Application Engineers

- Act as technical lead and escalation point for NeuraGym users: scope feasibility, choose algorithms, plan data collection

- Oversee onboarding of users to the full NeuraGym pipeline: teleoperation, annotation, training, simulation, deployment and validation

- Collaborate closely with on-site Robotics Engineers during data capture and experiments to ensure desired behavior and safety standards are met

- Step in hands-on when the team hits hard blockers: review training scripts, identify data issues, help reproduce model bugs

- Serve as the interface to our Cloud and AI teams, facilitating cross-functional collaboration and alignment

- Aggregate lessons learned across all engagements and feed them into both the NeuraGym product roadmap and the Neura core AI roadmap

- Define and track team KPIs (skill success rate, time-to-validated-skill, data efficiency)

What we can look forward to

- Master's or PhD in Computer Science, Robotics, Electrical Engineering, or related field

- 5+ years hands-on machine learning experience in robotics — strong in at least two of: vision-based manipulation, reinforcement/imitation learning, or multimodal foundation models

- 2+ years of people management or formal technical leadership (tech lead, staff engineer, or team lead with direct reports)

- Solid Python skills (C++ a plus); practical experience with PyTorch or TensorFlow

- Comfortable working directly with real robot hardware and associated middleware

- Cloud experience (AWS, Azure, or GCP) and robotic simulation tools (IsaacSim, MuJoCo, etc.) a plus

- Proven ability to deliver complex, multi-month robotics projects with measurable outcomes

- Clear communicator who can translate between researchers, engineers, and end-users; good command of English and German (B2–C1)