Senior Computer Vision Engineer - Retail AI Systems

Scandit; Warszawa; Hybrid; PLN 260,000 - 380,000; Full time

Benefits offered by this job

Hackathons

Flexible/hybrid or remote working

Equity plan

Great Place to Work recognition

Your birthday off

Job summary

Scandit is building a new generation of computer vision-driven retail technology. We seek a Senior Computer Vision Engineer to lead technical discovery, validate risky assumptions, and build initial end-to-end prototypes for live retail environments.

You will own action recognition projects from data collection to model deployment, collaborating with product and engineering teams to deliver robust, privacy-aware CV models in production.

Qualifications

• University degree in Computer Science, Electrical Engineering, Mathematics or related field.
• 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).
• Strong experience with video-based pipelines and human action or behavior recognition (retail, autonomous checkout or similar domains).
• Solid software engineering skills (e.g. Python) 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 and communicate complex topics in English (B2 level or higher).
• Eligible to work in the hiring location

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.

Skills

Computer vision

Machine learning

Python

Video data pipelines

English communication

Education

University degree in Computer Science, Electrical Engineering, Mathematics or related field

Tools

Python

ML frameworks

Job description

Scandit is building a new generation of computer vision-driven retail technology. We seek a Senior Computer Vision Engineer to lead technical discovery, validate risky assumptions, and build initial end-to-end prototypes for live retail environments.

You will own action recognition projects from data collection to model deployment, collaborating with product and engineering teams to deliver robust, privacy-aware CV models in production.