Senior Computer Vision Engineer

Scandit

HybridPosted July 26, 2026

About the role

Scandit Italy is building a new generation of technology for retail: a computer vision driven system that helps retailers increase profit margins through better operational insight and automation. As a Senior Computer Vision Engineer, you will own the technical direction for action recognition in real-world retail environments, from defining how we collect and annotate video data to prototyping and evaluating models, and iterating on precision, recall, and end-to-end latency under production-like conditions. You will work closely with product, data, and engineering stakeholders to validate the riskiest assumptions quickly and cost-effectively.

Senior Computer Vision Engineer

Scandit

HybridPosted July 26, 2026

About the role

Scandit Italy is building a new generation of technology for retail: a computer vision driven system that helps retailers increase profit margins through better operational insight and automation. As a Senior Computer Vision Engineer, you will own the technical direction for action recognition in real-world retail environments, from defining how we collect and annotate video data to prototyping and evaluating models, and iterating on precision, recall, and end-to-end latency under production-like conditions. You will work closely with product, data, and engineering stakeholders to validate the riskiest assumptions quickly and cost-effectively.

What you will do - Define and prioritize technical experiments to validate key risks for computer vision models in retail stores. - Design and implement end-to-end CV/ML pipelines on real-world video data, from data ingestion and preprocessing through model training, evaluation, and deployment. - Set up and refine the human annotation workflow to create high-quality training and test datasets from video streams. - Collaborate with product managers and engineering leaders to clarify requirements, align on milestones, and translate business needs into technical roadmaps. - Select, adapt, and optimize state-of-the-art computer vision architectures for action recognition in unconstrained environments. - Provide technical leadership in video-based computer vision applications, helping shape best practices and future hiring for the team.

Who you are - A senior computer vision / machine learning engineer who has built and shipped real-worl

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What you will do - Define and prioritize technical experiments to validate key risks for computer vision models in retail stores. - Design and implement end-to-end CV/ML pipelines on real-world video data, from data ingestion and preprocessing through model training, evaluation, and deployment. - Set up and refine the human annotation workflow to create high-quality training and test datasets from video streams. - Collaborate with product managers and engineering leaders to clarify requirements, align on milestones, and translate business needs into technical roadmaps. - Select, adapt, and optimize state-of-the-art computer vision architectures for action recognition in unconstrained environments. - Provide technical leadership in video-based computer vision applications, helping shape best practices and future hiring for the team.