Senior Machine Learning Engineer - Video Understanding

📋 Description

• Define and prioritize technical experiments to validate key risks (e.g. precision, recall, latency)
• Design and implement end-to-end CV/ML pipelines on real-world video data, from data ingestion and
• Set up and refine the human annotation workflow to create high-quality training and test datasets
• Collaborate with product managers and engineering leaders to clarify requirements, align on
• Select, adapt, and optimize state-of-the-art computer vision architectures for suspicious behavior
• Provide technical leadership in video-based computer vision applications, helping shape best

🎯 Requirements

• University degree in Computer Science, Electrical Engineering, Mathematics or related field.
• Significant hands-on experience in computer vision and machine learning, including model design
• Proven track record of building end-to-end CV/ML systems from 0 to 1, ideally commercial products.
• Strong expertise in 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, modern ML/CV frameworks) and experience with

🎁 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.