Senior Computer Vision Engineer

<p><strong>Scandit Zürich</strong></p> <p><strong>Senior Computer Vision Engineer</strong></p> <p>Scandit gives people superpowers. Whether enabling delivery drivers to make quicker deliveries, matching a patient with their medication, or allowing retailers to make store operations more efficient, our technology automates workflows. It provides actionable insights to help businesses in a variety of industries. Join us as we continue to expand, grow, innovate, and help take Scandit to the next level.</p> <p>We are now building a new generation of technology for retail: a computer vision–driven system that helps retailers to increase their profit margins through better operational insight and automation. As a <strong>Senior Computer Vision Engineer</strong>, you will play a leading role in taking this product from 0 to 1, owning key technical decisions and delivering production-grade vision capabilities end to end.</p> <p>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, to iterating on precision, recall and end-to-end alert latency under production‑like conditions. You'll work closely with product, data, and engineering stakeholders to validate the riskiest assumptions quickly and cost‑effectively.</p> <p>If you enjoy turning ambiguous, high‑impact problems into working ML products – and have experience building commercial computer vision systems for action recognition, autonomous checkout, worker safety, or similar applications – we'd love to talk.</p> <h2><span style="font-size: 14pt;"><strong>About the role</strong></span></h2> <p>As a <strong>Senior Computer Vision Engineer</strong>, you will be responsible for leading the technical discovery and early development of Scandit's new solution – from validating the riskiest assumptions to building and iterating on the first end-to-end prototypes. You will work closely with product, other engineering teams, and external stakeholders to turn real-world video data into robust, privacy-aware computer vision models that can operate in live retail environments.</p> <p>This role connects cutting-edge CV/ML research with real-world product constraints – requiring both deep technical expertise and a pragmatic, experimental approach to building production-ready systems under ambiguity and time pressure.</p> <p><iframe src="https://player.vimeo.com/video/666068414?title=0&byline=0" width="425" height="350"></iframe></p> <p><span style="font-size: 14pt;"><strong>What you will do</strong></span></p> <ul> <li>Defining and prioritizing technical experiments