Senior Machine Learning Engineer - Video Understanding

📋 Description

• Defining and prioritizing technical experiments to validate key risks (e.g. precision, recall
• Designing and implementing end-to-end CV/ML pipelines on real-world video data, from data ingestion
• Setting up and refining the human annotation workflow to create high-quality training and test
• Collaborating with product managers and engineering leaders to clarify requirements, align on
• Selecting, adapting, and optimizing state-of-the-art computer vision architectures for suspicious
• Providing technical leadership in the space of video-based computer vision applications, helping

🎯 Requirements

• University degree in Computer Science, Electrical Engineering, Mathematics or a related technical
• Significant hands-on experience in computer vision and machine learning, including designing
• Proven track record of building end-to-end CV/ML systems from 0 to 1 (ideally commercial products
• Strong expertise with video-based pipelines and human action or behavior recognition (e.g. retail
• Hands-on experience with vision transformers for temporal video understanding, experience
• Solid software engineering skills (e.g. Python and modern ML/CV frameworks) and experience working

🎁 Benefits

• A highly skilled team and a fun environment where you can put your enthusiasm for cutting-edge
• Hackathons
• Flexible, office, hybrid or home working
• People-first culture
• Global team outings
• Festive/end of year all company celebrations