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# Senior Computer Vision Engineer (Action Recognition)

- **Company:** Scandit
- **Location:** München, Germany (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Training Data, Computer Vision, Python (Programming Language), Machine Learning, Software Engineering, Data Ingestion, Backend, Information Technology, Machine Learning Operations, Data Pipelines
- **Published:** July 26, 2026
- **Apply:** https://de.indeed.com/viewjob?jk=b69facb5dd1ed844

## About the Role

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, 01 product environment. You should enjoy collaborating closely with product and engineering stakeholders, shaping the technical direction, and iterating quickly on ideas to validate the riskiest assumptions.

 * 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 01 (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

## Description

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 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.

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., 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.

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.

What you will do

 * 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


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