Internship - Robotics Manipulation

Location: Zürich, Zurich, Switzerland

Department: AI Engineering

Workplace: on_site

Description

About Flexion:
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.

The Role:

We are looking for a motivated intern to join our manipulation team and contribute to the development and deployment of learning-based controllers for dexterous manipulation on our humanoid robot.

You will work closely with top engineers and researchers across our manipulation, reinforcement learning, and motion generation teams. This is a hands-on role where you will gain real-world robotics experience by contributing to state-of-the-art research and development initiatives - from training models to deploying them on physical hardware.

If you are passionate about pushing the boundaries of humanoid dexterous manipulation and want to learn from one of the leading teams in the field, this is the role for you.

Requirements

• Currently pursuing a PhD, or a Master's student close to graduation in robotics, core ML, computer vision, or a related field

• Excellent knowledge of Python and PyTorch
• Experience in dexterous manipulation and robot control (e.g. as part of a thesis or research project)

Additionally, the following skills are a plus

• Experience with diffusion models and reinforcement learning
• Experience deploying and debugging experiments on real robotic hardware
• Experience with ROS and perception models

Benefits

• Competitive compensation
• A front-row seat at one of Europe’s most ambitious robotics companies
• Working with world-class roboticists and researchers at the forefront of the field
• An energetic, collaborative team with a bias for action