At Flexion, we're building the intelligence layer powering the next generation of humanoid robots. We're looking for an expert in whole-body motion generation to strengthen our Zurich team.
Requirements
- Hands-on experience in the development and training of diffusion or flow matching models.
- PhD or master's degree in diffusion models/flow matching or learning-based trajectory generation with relevant project experience.
- Strong research profile with a high track record of publications at top computer vision, graphics and/or robotic conferences.
- Excellent knowledge of Python, PyTorch, and hands-on experience in the training and fine-tuning of diffusion models and/or flow matching policies.
- Experience in the deployment of learning-based trajectory generation for robotic systems.
- Experience with modern GPU-based simulations such as Omniverse or Genesis.
- Good knowledge of state-of-the-art machine learning architectures.
Benefits
- Competitive remuneration in the form of a competitive base salary and additional components/benefits depending on the specific role and the experience of the applicant.
- Significant ownership of projects and decisions in a dynamic and fast-moving environment.
