Senior Computer Vision Engineer (Action Recognition)

Join Scandit as a Senior Computer Vision Engineer, where you will lead the technical discovery and early development of a new solution focused on action recognition. You will work closely with product, engineering teams, and external stakeholders to create robust, privacy-aware computer vision models for live retail environments. This role requires deep technical expertise and a pragmatic, experimental approach to building production-ready systems.

• Lead the technical discovery and early development of Scandit's new solution, focusing on action recognition in video data.
• Collaborate with product managers and engineering leaders to clarify requirements, align on milestones, and translate business needs into technical roadmaps.
• Design and implement end-to-end computer vision/machine learning pipelines on real-world video data, from data ingestion and preprocessing through model training, evaluation, and deployment.
• You should enjoy collaborating closely with product and engineering stakeholders, shaping the technical direction, and iterating quickly on ideas to validate the riskiest assumptions
• We are looking for a senior computer vision / machine learning engineer who has successfully built and shipped real-world products, ideally involving action recognition on video
• You combine deep hands-on technical expertise with a pragmatic, experimental mindset and are comfortable working in a high-ambiguity, 0→1 product environment
• University degree in Computer Science, Electrical Engineering, Mathematics or a related technical field (advanced degree is a plus but not mandatory)
• Proven track record of building end-to-end CV/ML systems from 0→1 (ideally commercial products rather than purely academic projects)
• Ability to collaborate effectively with cross-functional teams (e.g. product, backend, data, operations) and communicate complex technical topics clearly in English (B2 level or higher)
• Strong expertise with video-based pipelines and human action or behavior recognition (e.g. retail, autonomous checkout or similar domains)
• Significant hands-on experience in computer vision and machine learning, including designing, training, evaluating and deploying models in production
• Ability to work in a dynamic, high-uncertainty environment, prioritize experiments, and iterate quickly on technical approaches
• Eligible to work in the hiring location
• Solid software engineering skills (e.g. Python and modern ML/CV frameworks) and experience working with real-world, noisy data
• Experience with privacy-aware or GDPR-compliant data pipelines, especially for video data
• Background in building or selecting annotation tools and workflows for computer vision training data
• Prior work on retail, autonomous stores using computer vision