Senior Computer Vision Engineer

Description

As a Senior Computer Vision Engineer, 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. 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.

As a Senior Computer Vision Engineer, 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.

Responsibilities

• Defining and prioritizing technical experiments to validate key risks (e.g. precision, recall, latency) for computer vision models in retail stores
• Designing and implementing end-to-end CV/ML pipelines on real-world video data, from data ingestion and preprocessing through model training, evaluation, and deployment
• Setting up and refining the human annotation workflow to create high-quality training and test datasets from video streams
• Collaborating with product managers and engineering leaders to clarify requirements, align on milestones, and translate business needs into technical roadmaps
• Selecting, adapting, and optimizing state-of-the-art computer vision architectures for suspicious behavior and action detection in unconstrained environments
• Providing technical leadership in the space of video-based computer vision applications, helping shape best practices and future hiring for the team

Qualifications

• University degree in Computer Science, Electrical Engineering, Mathematics or a related technical field (advanced degree is a plus but not mandatory)
• Significant hands-on experience in computer vision and machine learning, including designing, training, evaluating and deploying models in production
• Proven track record of building end-to-end CV/ML systems from 0→1 (ideally commercial products rather than purely academic projects)
• Strong expertise with video-based pipelines and human action or behavior recognition (e.g. retail, autonomous checkout or similar domains)
• Solid software engineering skills (e.g. Python and modern ML/CV frameworks) and experience working with real-world, noisy data
• Ability to work in a dynamic, high-uncertainty environment, prioritize experiments, and iterate quickly on technical approaches
• 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)
• Eligible to work in the hiring location

Nice to have:

• 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

Benefits

Here are just some of the reasons why people choose to build their careers at Scandit:

• A highly skilled team and a fun environment where you can put your enthusiasm for cutting-edge technologies to use
• Hackathons
• Flexible, office, hybrid or home working
• People-first culture
• Global team outings
• Festive/end of year all company celebrations
• Your birthday off
• An attractive individual equity plan in a high growth company
• We are certified as a “Great Place to Work” in 7 countries!
• Excellent office infrastructure, optimized for hybrid working in Zurich, Warsaw, Tampere, and London.
• Excellent support for remote work across Switzerland, Finland, Poland, UK, Italy and Germany
• Specific benefits related to the location you are joining