
51 - 200 employees
🍽️ Food & Beverage
☁️ SaaS
🤝 B2B
Food & Beverage • SaaS • B2B
menio GmbH is a provider of a cloud-based digital infrastructure and integrated platform for institutional and corporate catering. The company combines tools for guest interaction, online and pre-ordering, mobile payment, digital signage, kiosks, self-checkout, vending and kitchen operations into the menioCLOUD, which centralizes data and workflows for canteens, contract catering and other institutional foodservice environments. menio formed from the merger of qnips and kamasys, leverages ~20 years of market experience and a team of about 80 specialists to serve the DACH region and beyond.
🔥 10 minutes ago
🇩🇪 Germany – Remote
⏱ Part Time
⚪️ Entry-level
🤖 Machine Learning Engineer
🚫👨🎓 No degree required
👻 Ghost score 12%
🗣️🇩🇪 German Required
Where this job comes from
Posted on menio GmbH's careers page ↗, not through a job board
First seen by Remote Rocketship 10 minutes ago

51 - 200 employees
🍽️ Food & Beverage
☁️ SaaS
🤝 B2B
Food & Beverage • SaaS • B2B
menio GmbH is a provider of a cloud-based digital infrastructure and integrated platform for institutional and corporate catering. The company combines tools for guest interaction, online and pre-ordering, mobile payment, digital signage, kiosks, self-checkout, vending and kitchen operations into the menioCLOUD, which centralizes data and workflows for canteens, contract catering and other institutional foodservice environments. menio formed from the merger of qnips and kamasys, leverages ~20 years of market experience and a team of about 80 specialists to serve the DACH region and beyond.
• Research and prototype-compare current approaches to few-shot recognition and visual similarity search • Investigate DINOv2, SigLIP, and lightweight models such as MobileNet • Use publicly available food datasets for pretraining and benchmarking • Build a well-documented dataset together using images from real-world cafeterias • Develop a method for adding new dishes from 1–5 reference images without complete retraining • Identify unknown dishes using open-set recognition • Improve robustness to variations in portion sizes, lighting, and presentation • Account for domain shifts between different cafeterias • Combine few-shot recognition with detection or segmentation to identify multiple dishes individually on a tray • Investigate how the daily menu and SigLIP’s image–text capabilities can improve recognition • Define metrics and test scenarios, and analyze confusion cases involving similar dishes • Work on a camera-based food recognition system for contract catering
• Currently pursuing a degree in Computer Science, Data Science, Mathematics, or a comparable field • Personal projects using Python, for example as part of your studies, privately, or on GitHub • Fundamental knowledge of machine learning and deep learning • Interest in computer vision • Experience with PyTorch is a plus • Initial experience with image classification, embeddings, visual similarity search, or object detection is a plus, but not required • Basic knowledge of or familiarity with few-shot learning, transfer learning, open-set recognition, or segmentation • Willingness to try new approaches and learn about new topics • Application documents submitted as a single PDF, including a cover letter, résumé, and certificates
• Flexible working hours and remote work • Choice of part-time or full-time employment • Free lunch three times a week • Open work culture, short decision-making processes, and agile working methods • Plenty of opportunity to make an impact • Modern office facilities in Hanover or Plauen • Fresh fruit, excellent coffee or tea, and a selection of beverages tailored to each location • Regular team events and outings • Bike leasing • Corporate benefits • Company pension scheme and financial support for occupational retirement provision • Numerous professional development and training opportunities • Attendance at international conferences • Top-floor lounge with rooftop terrace
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