Machine Learning Engineer - Computer Vision & Edge AI

The fruits of your labor. Satisfied customers.

When it comes to intelligent kitchen equipment and digital products, the RATIONAL Group is the global market and technology leader. Now its 2.900-some employees around the world need help. They need someone with brains, tenacity, and enthusiasm. Someone like you.

This position can be filled on a hybrid basis. Regular in-person work in Landsberg am Lech is required.

• Together with the team, you drive the development and evolution of vision systems
• You understand, evaluate, and challenge model architectures, neural networks, inference pipelines, and diagnostic tool chains, gradually taking over dedicated development and optimization work packages
• You oversee the integration, validation, benchmarking, and diagnostics of ML models on our embedded target hardware and define robust performance and accuracy metrics
• You support the entire data and model lifecycle – from data collection, curation, and annotation pipelines to evaluation, edge benchmarking, and edge-case error analysis
• You collaborate closely with our embedded software engineers, cloud developers, and the Product Owner to seamlessly integrate vision capabilities into the broader product architecture

If you do not meet all requirements or would like to develop towards this exciting field, we still encourage you to apply. We work pragmatically as a team and provide everything you need to quickly become familiar with the topic.

• You have a degree in Computer Science, Data Science, Electrical Engineering, Physics, Mathematics, or a comparable field with a focus on Machine Learning / Computer Vision
• Proven practical experience in computer vision and deep learning using frameworks such as PyTorch, Tensor Flow, OpenCV, or ONNX
• Solid understanding of edge AI and inference optimization on embedded devices (e.g., quantization, pruning, ONNX Runtime, TensorRT, OpenVINO, NPU/VPU/DSP accelerators)
• Solid programming skills in Python and modern C++ (C++17 or newer) for integrating vision pipelines into embedded software environments
• Experience in model diagnostics, validation metrics, and data curation pipelines (data gathering, labeling, augmentation)
• Experience working with external technology partners or suppliers is an advantage
• Familiarity with standard software development tools (e.g., Git, Git Lab/Git Hub, Docker/containers, Linux)
• Analytical, self-driven, and structured approach with enthusiasm for agile collaboration in a Scrum team
• Very good English skills (C1) and German skills are an advantage

• 38-hour week and 30 days vacation
• Flexible working hours and mobile working
• Attractive, performance-related remuneration and other financial benefits
• Excellent company restaurant and meal allowance
• EGYM Wellpass and bicycle leasing
• Work-life balance, for example through RATIONAL childcare during the holidays
• Team events, summer party and Christmas party
• Opportunities for internal and external further training