Scandit Zürich Senior Computer Vision Engineer Scandit gives people superpowers. Whether enabling delivery drivers to make quicker deliveries, matching a patient with their medication, or allowing retailers to make store…
Projektleiter:in HLKS Life Science - Kanton Zürich
Zurich, Zurich, Switzerland · On-site
$100k–$117k/yr
Senior
<p>Leiten Sie internationale Projekte für die Life-Science-Branche. Von der Planung bis zur erfolgreichen Inbetriebnahme.</p> <p>Unser Kunde ist ein innovativer Systemanbieter für die Medien- und Energieversorgung in der…
Skills: Project management, HVAC, Life science, Construction management, Site supervision
The role is to lead the Reinsurance Specialty Lines Engineering underwriting function, consisting of 6 underwriters located across Zurich, Singapore and the United States, with responsibility for the global Engineering t…
Company Description Welcome to Kanadevia Inova, a global innovation leader in the waste infrastructure space, where we believe in creating a sustainable future through technology and innovation. Transforming Waste into V…
Company Description Welcome to Kanadevia Inova, a global innovation leader in the waste infrastructure space, where we believe in creating a sustainable future through technology and innovation. Transforming Waste into V…
Skills: Data Engineering, Snowflake, SQL, Python, ETL
Company Description Welcome to Kanadevia Inova, a global innovation leader in the waste infrastructure space, where we believe in creating a sustainable future through technology and innovation. Transforming Waste into V…
Senior Lead Footwear Developer In short: As the Senior Lead Footwear Developer for Performance Running, you serve as the strategic technical consultant for our most critical product category. Based in our Zurich HQ, your…
In Short At On, the secret to our signature cloud-like sensation starts from the inside out. The last is the very foundation of our footwear, dictating fit, performance, and aesthetic. We are seeking a visionary Senior L…
Skills: Last Engineering, 3D CAD, Biomechanics, Foot Anatomy, 3D Scanning
Senior Lead - Apparel Material Development (Performance)
Zurich, Zurich, Switzerland · On-site
Senior+
In Short As Lead – Apparel Materials Development Performance, you will take responsibility for executing the global performance materials strategy and advancing textile technology in line with the company vision. The rol…
In short: Product Testing is the voice of the athlete and the consumer at On. We’re responsible for ensuring every On product meets the highest quality standards and delivers a premium, high-performance experience by com…
Skills: Footwear Testing, Team Leadership, Cross-functional Collaboration, Data Analysis, Qualitative Testing
In Short: At On, we are obsessed with empowering human movement and delivering an unparalleled performance and sensory experience. We are seeking a visionary Director of Product Testing to lead the evolution of our lab, …
In short Product Testing is the voice of the athlete and the consumer at On. We ensure every product delivers a premium, high-performance experience by combining scientific rigor with real-world insight. As Apparel and A…
In Short… As the Lead Developer for PAD (Lifestyle) + Young Movers (Kids), you will be responsible for inline Lifestyle products in our fastest-growing, largest product vertical, alongside specialized development enginee…
Skills: Footwear Development, Technical Design, Tech-packing, Prototyping, Fit And Wear Testing
In short: We are seeking an internationally seasoned, highly specialized Senior Lead - Pattern Engineer to spearhead the technical lifecycle of our global product lines from concept to production. This strategic leadersh…
Skills: Pattern Engineering, People Management, Gerber Accumark, CLO 3D, Browzwear
In short: As a Senior Lead, Innovation commercialization engineer, you will be a driving force at the forefront of On's scale of product evolution. You will operate with a high degree of autonomy to lead complex projects…
Sample Maker Job Summary: We are looking for a motivated and detail-oriented Sample Maker with a passion for athletic and ready to wear apparel. In this role, you will be responsible for creating high-quality prototypes,…
In short: The global Operational Excellence team is looking for a Head of Business Process Excellence to lead our Idea-to-Product domain and Business Architecture team. We are seeking a visionary, data-driven leader to r…
Skills: Business Process Management, Digital Transformation, Operational Excellence, AI Integration, Business Architecture
NVIDIA is changing the world of AI Networking with groundbreaking technology. We are excited to be adding an AI Networking Software Developer to our AI Networking SW development and codesign team. We are working with the…
Skills: Python, Linux, AI Networking, Benchmarking, Data Center
Location: Zurich, Zurich, Switzerland Job ID: R0137372 Date Posted: 2026-08-06 Company Name: HITACHI ENERGY LTD Profession (Job Category): Quality Management Job Schedule: Full time Remote: No Job Description: The opport…
Skills: Industrial Engineering, Lean Manufacturing, Process Flow Optimization, Automation, Digital Manufacturing
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
Full-time
bachelor degree, postgraduate degree
Hackathons, Flexible Working, Hybrid Working, Home Working, People-first Culture, Global Team Outings
Posted 5d ago
~40 hrs/week
Responsibilities
Lead the technical discovery and development of a computer vision-driven system for retail action recognition. Design and implement end-to-end CV/ML pipelines from data ingestion to production deployment.
Requirements
Requires a degree in Computer Science or a related field and significant experience building and shipping commercial CV/ML products. Expertise in video-based pipelines and human behavior recognition is essential.
Full job description
Scandit Zürich
Senior Computer Vision Engineer
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.
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.
About the role
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
Who you are
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, 0→1 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 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
What we offer
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
At Scandit we strive to create an inclusive environment that empowers our employees. We believe that our products and services benefit from our diverse backgrounds and experiences and are proud to be a safe space for all.
All qualified applicants will receive consideration for employment without regard to race, color, nationality, religion, sexual orientation, gender, gender identity, age, physical [dis]ability or length of time spent unemployed.
Scandit Smart Data Capture enables users to interact with items by capturing data from barcodes, text, IDs and objects.
Industry
Software Development
Company size
201-500 employees
Founded
2009
Headquarters
Zurich
LinkedIn followers
86,271
Total funding
$273M
Scandit is the leader in smart data capture giving superpowers to workers, customers and businesses by providing actionable insights and automating end-to-end processes. Our Smart Data Capture platform enables smart devices, such as smartphones, handheld computers, drones, digital eyewear, robots and fixed cameras to interact with physical items by capturing data from barcodes, text, IDs and objects with unmatched speed, accuracy, and intelligence.
We enable innovation that delivers significant cost savings, increases employee retention and customer loyalty. Scandit partners with customers at every step with trials, solution design, integration and customer success support included.
Visit scandit.com to learn why market leaders across retail, transport and logistics, healthcare and manufacturing like Instacart, Levi Strauss & Co., Sephora, Lufthansa and FedEx trust us.
Offices: Scandit AG, Förrlibuckstrasse 181, Zurich, 8005, CH · 33 Arch St, Boston, Massachusetts 02110, US · 1 Fore Street Avenue, London, England EC2Y 5EJ, GB · Koszykowa 61, Warsaw, . 00-66 67, PL · Finlaysoninkuja 21 a, Tampere, Pirkanmaa 33210, FI
Image RecognitionOptical Character Recognition (OCR)Computer VisionTransportation and LogisticsHealthcareBarcode Scanning SoftwareAugmented RealityRetail SoftwareEnterprise SoftwareLast Mile Solutions
How many Engineering jobs are open in Zurich, Switzerland right now?
There are currently 784 open engineering positions in Zurich, Switzerland listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Engineering roles in Zurich, Switzerland?
Companies currently hiring include ATP architects engineers, Hitachi Energy, Google, Julius Baer, ÅF, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Engineering jobs in Zurich, Switzerland?
Yes — 307 of the 784 open engineering positions offer remote or hybrid work (35 remote, 272 hybrid).
How do I apply for Engineering jobs in Zurich, Switzerland?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.