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FLFlexion Robotics

AI Engineer - Dexterous Manipulation(m/w/x)

Zürich
Full-timeOn-siteExperienced
AI/ML

Developing learning-based controllers for flexible object manipulation in robotics. PhD or Master's degree with deep learning and Python expertise required. Hands-on robotic experience with state-of-the-art models a plus.

Requirements

  • Hands-on robotic experience
  • Knowledge in state-of-the-art models for dexterous manipulation (Diffusion Models, Flow Matching, or Reinforcement Learning)
  • Experience with ROS and perception models (plus)
  • PhD or master's degree in robotics with relevant project experience (e.g., master thesis) on data-driven manipulation or diffusion models
  • Excellent knowledge of Python, PyTorch, and training deep neural networks
  • Hands-on experience running learning-based controllers on real robot hardware
  • Good knowledge in diffusion models and transformers
  • Enjoyment of working in a team
  • Ability to work in a dynamic and fast-moving environment
  • Willingness to take ownership of projects and decisions

Tasks

  • Develop learning-based controllers
  • Deploy learning-based controllers
  • Interact with the environment
  • Manipulate objects reliably
  • Manipulate objects flexibly

Work Experience

  • approx. 1 - 4 years

Education

  • Master's degree

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • ROS
  • Python
  • PyTorch
  • Diffusion Models
  • Flow Matching
  • Reinforcement Learning
  • Transformers
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