Master’s Thesis / Final-Year Project in Machine Learning and Computer Vision

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🔥 10 minutes ago

🇩🇪 Germany – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

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menio GmbH

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Develop a specific research question concerning camera-based food recognition • Research and compare current approaches in few-shot learning, metric learning, computer vision, and visual similarity search • Develop and compare models such as DINOv2, SigLIP, and lightweight models • Develop a method for recognizing new dishes from a small number of reference images without retraining the entire model • Define suitable metrics and test scenarios, conduct experiments, and systematically evaluate the results • Work with public food datasets and data from real-world cafeteria environments • Investigate challenges such as lighting, portion sizes, tableware, and different locations • Work with the development team to transfer findings into a functional prototype • Potential areas of focus: open-set few-shot recognition, domain shift, visually similar dishes, multi-dish recognition, and using the menu as prior knowledge

🎯 Requirements

• Currently pursuing a degree in Computer Science, Data Science, Mathematics, or a comparable field • Solid foundations in machine learning, deep learning, and computer vision • Experience with Python; ideally also with PyTorch • Interest in current computer vision research • Structured planning, documentation, and evaluation of experiments • Initial experience with image classification, embeddings, transfer learning, few-shot learning, or object detection is a plus • Application documents submitted as a single PDF, including a cover letter, CV, and certificates

🏖️ Benefits

• Flexible working hours and remote work • Part-time or full-time: we will find the right working model for you • Free lunch three times a week • Open culture, short decision-making processes, and agile working methods • Plenty of opportunity to shape your work and contribute ideas • Modern office in Hanover or Plauen • Fresh fruit, excellent coffee or tea, and a location-specific selection of beverages • Regular team events and outings • Bike leasing • Corporate benefits • Company pension scheme and financial contributions toward it • Numerous development and training opportunities • Attendance at international conferences • Top-floor office with rooftop terrace

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