Machine Learning Engineer - Working Student

Akina is an ETH Zurich spin-off building real-time human motion intelligence for robots. Our products Zendo and Yume turn standard cameras and video into 3D human motion data, used to train and control robots that work alongside people. We are looking for a working student to build with our engineering team in Zürich.

Tasks

You will contribute directly to Zendo (real-time motion capture) and Yume (video-to-data engine). Depending on your strengths:

• 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

15 hours per week, on-site at Technopark Zürich, minimum 6 months.

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 15 hours per week 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
• Flexible hours around your studies

Send your CV and a short note on what you have built, with a link to GitHub or a project if you have one. We review on a rolling basis and reply to everyone. First a short call, then a technical conversation with the team.