Team Lead, ML for Robotic Manipulation

Hexagon Robotics

Zürich

Hybride

CHF 140 000 - 200 000

Plein temps

Il y a 16 heures
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Avantages offerts par ce poste

CHF 500 mobility credit for commuting
Bonus system
Strong pension contributions
Relocation support
Health discounts
Team events
Flat hierarchy
International culture

Résumé du poste

Hexagon Robotics is seeking a Team Lead Machine Learning, Physical AI in Zürich to guide a leaderless, hands-on ML team focused on turning human demonstrations into reliable robotic manipulation policies. You will own data collection, training, and deployment loops while mentoring engineers and researchers across the stack.

The role blends leadership with technical depth in imitation learning and visuomotor control, operating in a hybrid setup with close collaboration across R&D, product, and

Qualifications

  • PhD or MSc or equivalent in a relevant field,
  • Demonstrated leadership of ML teams and projects,
  • Strong Python and PyTorch skills with production experience,

Responsabilités

  • Build and lead a high-performing ML team and roadmap.
  • Lead the development of visuomotor policies and experiments.
  • Define robust real-robot and sim evaluation protocols.
  • Establish regression testing to ensure measurable improvements.
  • Ship production-quality models and collaborate with cross-functional teams.
  • Foster partnerships with academic and industry collaborators.

Connaissances

Team management
Python PyTorch
ML research
Data management
Production deployment
Experimentation culture

Formation

PhD or MSc or equivalent

Description du poste

Hexagon Robotics is seeking a Team Lead Machine Learning, Physical AI in Zürich to guide a leaderless, hands-on ML team focused on turning human demonstrations into reliable robotic manipulation policies. You will own data collection, training, and deployment loops while mentoring engineers and researchers across the stack.

The role blends leadership with technical depth in imitation learning and visuomotor control, operating in a hybrid setup with close collaboration across R&D, product, and

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