Ethon
Computer Vision Engineer, Applied ML(m/w/x)
Full-timeWith HomeofficeSenior
Zürich
New Job?Nejo!
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SCScandit
Senior Computer Vision Engineer(m/w/x)
Zürich
Full-timeWith Home OfficeSenior
AI/ML
Nejo AI Summary
Designing and implementing CV/ML pipelines for retail action recognition. Experience shipping real-world video products required. Flexible hybrid work, hackathons.
Requirements
- Experience building and shipping real-world products with action recognition on video
- Pragmatic, experimental mindset
- Comfortable in high-ambiguity, 0→1 product environment
- Enjoy collaborating with product and engineering stakeholders
- Ability to shape technical direction
- Ability to iterate quickly on ideas
- University degree in CS, EE, Math or related technical field
- Advanced degree is a plus but not mandatory
- Hands-on experience in computer vision and machine learning
- Experience designing, training, evaluating, and deploying models in production
- Proven track record of building end-to-end CV/ML systems from 0→1
- Experience with commercial products rather than purely academic projects
- Strong expertise with video-based pipelines
- Expertise in human action or behavior recognition
- Solid software engineering skills
- Experience working with real-world, noisy data
- Ability to work in dynamic, high-uncertainty environment
- Ability to prioritize experiments
- Ability to iterate quickly on technical approaches
- Ability to collaborate effectively with cross-functional teams
- Ability to communicate complex technical topics clearly in English
- Eligible to work in the hiring location
- Experience with privacy-aware or GDPR-compliant data pipelines
- Background in building or selecting annotation tools and workflows
- Prior work on retail, autonomous stores using computer vision
Tasks
- Define and prioritize technical experiments
- Validate key risks for CV models in retail
- Design and implement end-to-end CV/ML pipelines
- Set up and refine human annotation workflow
- Create high-quality training and test datasets
- Collaborate with product managers and engineers
- Clarify requirements and align on milestones
- Translate business needs into technical roadmaps
- Select and optimize CV architectures for detection
- Provide technical leadership in video-based CV
- Shape best practices and future hiring
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Advanced
Tools & Technologies
- Python
Benefits
Team Events
- Hackathons
- Global team outings
- Festive celebrations
Flexible Working
- Flexible working
- Hybrid working
- Home working
- Excellent support for remote work
Other Benefits
- Office working
Informal Culture
- People-first culture
- Great Place to Work certification
- Inclusive environment
- Diverse backgrounds and experiences
More Vacation Days
- Birthday off
Competitive Pay
- Individual equity plan
Modern Office
- Excellent office infrastructure
Additional Allowances
- Location-specific benefits
Mental Health Support
- Safe space for all
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Scandit and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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SCScandit
Senior Computer Vision Engineer(m/w/x)
Zürich
Full-timeWith Home OfficeSenior
AI/ML
Nejo AI Summary
Designing and implementing CV/ML pipelines for retail action recognition. Experience shipping real-world video products required. Flexible hybrid work, hackathons.
Requirements
- Experience building and shipping real-world products with action recognition on video
- Pragmatic, experimental mindset
- Comfortable in high-ambiguity, 0→1 product environment
- Enjoy collaborating with product and engineering stakeholders
- Ability to shape technical direction
- Ability to iterate quickly on ideas
- University degree in CS, EE, Math or related technical field
- Advanced degree is a plus but not mandatory
- Hands-on experience in computer vision and machine learning
- Experience designing, training, evaluating, and deploying models in production
- Proven track record of building end-to-end CV/ML systems from 0→1
- Experience with commercial products rather than purely academic projects
- Strong expertise with video-based pipelines
- Expertise in human action or behavior recognition
- Solid software engineering skills
- Experience working with real-world, noisy data
- Ability to work in dynamic, high-uncertainty environment
- Ability to prioritize experiments
- Ability to iterate quickly on technical approaches
- Ability to collaborate effectively with cross-functional teams
- Ability to communicate complex technical topics clearly in English
- Eligible to work in the hiring location
- Experience with privacy-aware or GDPR-compliant data pipelines
- Background in building or selecting annotation tools and workflows
- Prior work on retail, autonomous stores using computer vision
Tasks
- Define and prioritize technical experiments
- Validate key risks for CV models in retail
- Design and implement end-to-end CV/ML pipelines
- Set up and refine human annotation workflow
- Create high-quality training and test datasets
- Collaborate with product managers and engineers
- Clarify requirements and align on milestones
- Translate business needs into technical roadmaps
- Select and optimize CV architectures for detection
- Provide technical leadership in video-based CV
- Shape best practices and future hiring
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Advanced
Tools & Technologies
- Python
Benefits
Team Events
- Hackathons
- Global team outings
- Festive celebrations
Flexible Working
- Flexible working
- Hybrid working
- Home working
- Excellent support for remote work
Other Benefits
- Office working
Informal Culture
- People-first culture
- Great Place to Work certification
- Inclusive environment
- Diverse backgrounds and experiences
More Vacation Days
- Birthday off
Competitive Pay
- Individual equity plan
Modern Office
- Excellent office infrastructure
Additional Allowances
- Location-specific benefits
Mental Health Support
- Safe space for all
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Scandit and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Scandit
Industry
IT
Description
The company provides technology that automates workflows and offers advanced scanning solutions for various industries.
Not a perfect match?
- Ethon
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