Define and prioritize experiments to validate CV risks in retail
Design end-to-end CV/ML pipelines on real-world video data
Set up and refine annotation workflows for training data
Collaborate with product and engineering to align milestones
Select and optimize CV architectures for action detection in unconstrained environments
Provide technical leadership in video-based CV applications

🎯 Requirements

University degree in CS, EE, Math or related field
Hands-on CV/ML experience including production models
End-to-end CV/ML systems from 0→1 (commercial apps ideal)
Expertise in video-based pipelines and action recognition
Python and modern ML/CV frameworks; work with noisy data
Eligible to work in the hiring location

🎁 Benefits

Flexible, office, hybrid or home working
Hackathons
People-first culture
Attractive equity plan in a high growth company
Great Place to Work certified in 7 countries
Hybrid-friendly office infrastructure in Zurich/Warsaw/Tampere/London

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