Senior Computer Vision Engineer (Action Recognition)

📋 Description

• Define and prioritize experiments to validate CV model risks (precision, recall, latency) in retail.
• Design and implement end-to-end CV/ML pipelines on real-world video data.
• Set up and refine annotation workflow to create high-quality training/test datasets.
• Collaborate with product and engineering to clarify requirements and map to roadmaps.
• Select and optimize CV architectures for action recognition in unconstrained environments.
• Provide technical leadership in video CV, shaping practices and hiring.

🎯 Requirements

• University degree in CS, EE, Mathematics, or related field (advanced degree a plus).
• Hands-on CV/ML experience: design, train, evaluate, and deploy models in production.
• Proven track record building end-to-end CV/ML systems (0-1).
• Strong expertise in video-based pipelines and action/behavior recognition.
• Solid Python and ML/CV framework skills; work with real-world noisy data.
• Ability to work in dynamic, uncertainty-rich environments; prioritize experiments.
• Strong collaboration with cross-functional teams; clear English (B2+).
• Eligible to work in the hiring location.
• Nice to have: GDPR/privacy-aware data pipelines.
• Nice to have: annotation tools/workflows experience.
• Nice to have: retail or autonomous-store CV experience.

🎁 Benefits

• Flexible, office, hybrid or home working.
• Hackathons.
• Hybrid-friendly offices in Zurich, Warsaw, Tampere, London.
• Remote work support across Switzerland, Finland, Poland, UK, Italy and Germany.
• Attractive equity plan in a high-growth company.
• Birthday off; team outings; Great Place to Work certified.