Senior Computer Vision Engineer

Role

Permanent

Senior

Engineering

Logistics

Zurich

Hybrid

Closes in 30 days

Requirements

Bachelor's

EU/EFTA permit

Skills

ML/CV FrameworksPrototypingAction RecognitionEnd-to-End CV/ML SystemsVideo Data ProcessingData Annotation WorkflowsGDPR ComplianceComputer VisionPythonSoftware engineeringTechnical leadershipMachine learning

Languages

English B2

Description

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.

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

Requirements

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

Benefits

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

Company

Scandit

Software

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.