INTERNSHIP DETAILS

Internship - Humanoid Motion Generation (Diffusion and Flow Matching)

CompanyFlexion Robotics
LocationZurich
Work ModeOn Site
PostedDecember 23, 2025
Internship Information
Core Responsibilities
The intern will work on generative whole-body trajectory generation and 3D environment perception for humanoid robots. This role involves solving open-ended problems and contributing to foundational software development.
Internship Type
full time
Company Size
40
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
We are building the autonomy stack for humanoid robots - from command to control, from manipulation to locomotion, across any hardware and task. Leveraging the power of simulation and reinforcement learning, our software scales to the real world with minimal human involvement.
About the Role

At Flexion, we're building the intelligence layer powering the next generation of humanoid robots. Our mission is to accelerate the transition from fragile prototypes to real-world deployment of humanoids. We are founded by leading scientists in robot reinforcement learning (ex-Nvidia, ex-ETH Zürich) and backed by leading international VC firms. Within a few months, we’ve gone from our first line of code to deploying real humanoid capabilities with our partners.

Role:
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.

You will work at the intersection of generative whole-body trajectory generation (using diffusion models, flow matching, and/or auto-regressive models) and 3D environment perception.

If you enjoy solving open-ended problems in a fast-moving environment, this is a unique opportunity to learn from our world-class team of engineers and scientists, and contribute to our foundational software development.

Required skills:

  • 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.
  • Preferably: autonomous research/project work in human motion generation (neural avatars) or robotic imitation learning.

Additionally, the following skills are a plus but not required:

  • Experience in robotics.
  • Experience with simulation environments.

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. Every new employee at this stage will have significant ownership of their current project.

We offer a 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.

Key Skills
Computer ScienceRoboticsMachine LearningDiffusion ModelsFlow MatchingTrajectory GenerationGenerative ModelingPythonPyTorchAnalytical ThinkingProblem SolvingState-of-the-Art MethodsHuman Motion GenerationRobotic Imitation Learning
Categories
TechnologyEngineeringScience & Research