We are looking for a dexterous manipulation expert to strengthen our team in Zurich. The goal of this position is the development and deployment of state of the art learning-based controllers to interact with the environment and manipulate objects more reliably and flexibly.
Requirements
As all code has to run on real robotic hardware in real time, hands-on robotic experience and knowledge in state of the art models for dexterous manipulation, such as either Diffusion Models, Flow Matching or Reinforcement learning is required.
Experience with ROS and perception models is a plus.
Particularly:
- 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 the training of deep neural networks.
- Hands-on experience for running learning-based controllers on real robot hardware.
- Good knowledge in diffusion models and transformers.
We are looking for a person who enjoys working in a team in a very dynamic and fast-moving environment, and who is able and willing to take ownership of projects and decisions.
Benefits
- Competitive compensation
- Enhanced pension plan
- Enhanced holiday & paid leave perks
- Relocation & permit sponsorship
- Central Zürich office with top-tier robotics testing facilities and infrastructure
- Joining Europe's leading robotics team & exposure to never-done-before research
- Energetic, collaborative culture with a bias for action and regular community events
Skills Required
- PhD or master's degree in robotics
- Hands-on robotic experience
- Excellent knowledge of Python
- Excellent knowledge of PyTorch
- Experience with reinforcement learning
- Good knowledge in diffusion models and transformers
- Experience with ROS and perception models
What We Do
We at Flexion Robotics (flexion.ai) are a young company in Zurich working on the next generation of humanoid robot software to enable robots to perform useful tasks autonomously. We work dynamically and move fast. The team is still fairly small and every new employee at this stage will have significant ownership of their current project.
