Internship - Humanoid Motion Generation (Diffusion and Flow Matching)

We're building the intelligence layer powering the next generation of humanoid robots at Flexion. We're looking for a talented MS or PhD intern to join our team in Zürich and push the boundaries of how humanoid robots perceive and interact with the world.

Requirements

• Currently pursuing a Master’s or PhD degree in Computer Science, Robotics, Machine Learning, or a related technical field.
• Experience in diffusion models/flow matching or learning-based trajectory generation with relevant project experience.
• Familiarity with generative modeling and its application to time series data.
• Excellent Python and PyTorch skills; comfortable writing clean, modular code for rapid experimentation.
• Strong, proven analytical thinking and problem-solving skills.
• Ability to navigate and implement state-of-the-art methods from recent literature.

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.