Machine Learning - Internship

Role Description

You will contribute directly to Zendo (real-time motion capture) and Yume (video-to-data engine).
Full-time, hybrid on-site at Technopark Zürich and up to 2 days work from home, minimum duration 6 months.

Responsibilities

• Work on computer vision and human pose estimation pipelines
• Build and test our Rust and Python SDKs
• Improve model accuracy, performance, and real-time throughput
• Prototype features and turn research into shipped code

Requirements

• Currently enrolled or graduated from ETH Zurich, EPFL or ZHAW (we hire only from these)
• Studying computer science, robotics, electrical engineering, or a related field
• Solid Python, plus experience with or willingness to learn Rust
• Comfortable with machine learning and computer vision fundamentals
• Available full time for at least 6 months
• Able to work on-site in Zürich

Benefits

• Real ownership on products that ship
• Direct work with the founding engineering team
• Rust and a modern ML/CV stack on hard real-time problems
• A competitive salary during your internship