Scandit is building a new generation of computer vision-powered retail technology. As a Senior Computer Vision Engineer, you will lead the technical discovery and early development of the action recognition solution in real-world retail environments, from validating risky assumptions to delivering end-to-end prototypes.

Responsibilities

Who you are:

Define and prioritize technical experiments to validate risks such as precision, recall, and latency in retail CV models
Design and implement end-to-end CV/ML pipelines from data ingestion and preprocessing to 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 engineers to translate business needs into technical roadmaps
Adapt and optimize state-of-the-art CV architectures for action recognition in unconstrained environments
Provide technical leadership for video-based CV applications and help shape best practices and future hiring
Senior CV/ML engineer with hands-on experience shipping real-world products, ideally involving action recognition on video
Proficient in Python and modern ML/CV frameworks; comfortable working with noisy data
Proven track record of building end-to-end CV/ML systems (0→1) in production
Strong understanding of video pipelines and human action/behavior recognition in retail or similar domains
Excellent communication in English (B2+)
Eligible to work i

About the role

Senior Computer Vision Engineer (Action Recognition) – Germany, Hybrid

Scandit is building a new generation of computer vision-powered retail technology. As a Senior Computer Vision Engineer, you will lead the technical discovery and early development of the action recognition solution in real-world retail environments, from validating risky assumptions to delivering end-to-end prototypes.

Responsibilities

Who you are:

Define and prioritize technical experiments to validate risks such as precision, recall, and latency in retail CV models
Design and implement end-to-end CV/ML pipelines from data ingestion and preprocessing to 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 engineers to translate business needs into technical roadmaps
Adapt and optimize state-of-the-art CV architectures for action recognition in unconstrained environments
Provide technical leadership for video-based CV applications and help shape best practices and future hiring
Senior CV/ML engineer with hands-on experience shipping real-world products, ideally involving action recognition on video
Proficient in Python and modern ML/CV frameworks; comfortable working with noisy data
Proven track record of building end-to-end CV/ML systems (0→1) in production
Strong understanding of video pipelines and human action/behavior recognition in retail or similar domains
Excellent communication in English (B2+)
Eligible to work i

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