Middle Computer Vision Engineer (m/f/d)
Unmanned Stores · AI · Anti-Theft · Smart Fridges
Walkout Technologies is a fast-growing technology company building next-generation unmanned retail solutions.
We design and deploy AI-powered computer vision systems for walkout stores, self-checkout (SCO) anti-theft detection, and smart fridge solutions, enabling frictionless and secure shopping experiences.
Based in Germany, we work with leading retailers and partners across Europe to bring real-world AI into production environments.
We are now looking for a Middle Computer Vision Engineer who wants to work hands-on on challenging, production-grade computer vision problems.
What You’ll Be Doing
• Develop and improve computer vision systems for:
• Unmanned / walkout stores
• Anti-theft detection at self-checkout (SCO)
• Smart fridge product recognition
• Work on object detection, tracking, and behavior analysis in real-world retail environments
• Optimize models for accuracy, robustness, and performance
• Collaborate closely with product, backend, and deployment teams
• Analyze customer and retailer problems and translate them into practical AI solutions
• Support the full lifecycle from prototype to production
What We’re Looking For
Required
• Strong Python skills
• Solid understanding of computer vision fundamentals and applied AI
• Hands-on experience with OpenCV
• Experience working with real-world image/video data
Nice to Have
• Experience with deep learning frameworks such as PyTorch, TensorFlow, or Keras
• Knowledge of object detection / tracking pipelines
• Experience with edge deployment or performance optimization
• Web/backend experience (e.g. Node.js, Socket.IO) is a plus
What We Offer
• Work on cutting-edge AI products used in real retail environments
• Remote work possible
• Long-term engagement and stable projects
• Paid sick leave and vacation
• A dynamic, international team
• Experienced leadership with strong technical background
• High ownership and real impact on shipped products
Job Type: Full-time
Work Location: Remote
Apply Now
Apply Now