Senior Computer Vision Engineer (Action Recognition)

📋 Description Define experiments to validate CV model risks (precision/recall/latency) in stores. Design end-to-end CV/ML pipelines from video ingestion to deployment. Set up annotation workflow to create training/testing video datasets. Collaborate with product/engineering to define requirements, milestones, roadmaps. Select and optimize CV architectures for action detection in unconstrained environments. Provide technical leadership in video-based CV and establish best practices. 🎯 Requirements University degree in CS, EE, Mathematics or related field. Hands-on CV/ML experience, building and deploying models in production. End-to-end CV/ML systems from 0 to 1, ideally commercial products. Strong expertise with video-based pipelines and action/behavior recognition. Solid Python software engineering and experience with noisy data. Excellent English and eligible to work in the hiring location. 🎁 Benefits Flexible, office, hybrid or home working. Hackathons. Attractive equity plan. Birthday off. Great Place to Work-certified in 7 countries. Hybrid-friendly offices in Zurich, Warsaw, Tampere and London.