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Team Lead Physical AI

Hexagon Robotics · Zurich

New
Hybrid 🇬🇧 English
Python PyTorch Imitation learning Reinforcement learning Robotic manipulation Teleoperation systems Action chunking VLA architectures Distributed training Experiment tracking

Job description

About the role

We’re hiring a Team Lead Physical AI to lead a team that turns human demonstrations into reliable manipulation skills on our humanoid platform. You will own the path from teleoperated demonstration to deployed policy: how we collect data, what we train on it, and how we prove it works on real robots in real customer environments.

Key responsibilities

  • Build and lead a high‑performing team – recruit, mentor, and grow a team of ML engineers and researchers.
  • Set a culture of rapid experimentation with rigorous evaluation, keeping the roadmap honest about research vs. delivery.
  • Lead technical development of visuomotor policies, prioritize improvements, review experiments and code, and tackle the hardest problems yourself.
  • Design and run real‑robot and simulation evaluation protocols with statistical rigor for go/no‑go decisions.
  • Ship models into production by collaborating with Product, MLOps, Controls, and Hardware teams to deploy policies in challenging customer environments.

Required profile

  • Deep, hands‑on expertise with ML research and development (PhD, MSc, or equivalent industry experience).
  • 2+ years experience managing or technically leading a team (hiring, road‑mapping, mentoring) while staying technically involved.
  • Professional experience training and deploying ML models, strong Python and deep‑learning framework skills (PyTorch).
  • Practical experience managing and scaling datasets and translating research into working systems (papers + shipped product/demo).
  • Comfort operating in a fast‑paced startup‑like environment inside a larger organization.

Required skills

  • Python
  • PyTorch
  • Imitation learning
  • Reinforcement learning
  • Robotic manipulation
  • Teleoperation systems
  • Diffusion and flow‑matching policies
  • Action chunking
  • VLA architectures
  • Distributed training at scale
  • Experiment tracking practice

What we offer

  • Flexible working hours and a hybrid model for real work‑life balance.
  • Generous vacation: 25–30 days depending on age.
  • CHF 500 mobility credit for sustainable commuting.
  • Bonus system and strong pension contributions.
  • Tailored training and development opportunities.
  • Relocation support for a smooth start.
  • Discounts on health, mobility & entertainment.
  • Team events and a flat hierarchy where your voice counts.

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Published 2 days ago

Expires 1 month from now

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Hexagon Robotics

Zurich