Machine Learning Engineer - Computer Vision & Edge AI

Machine Learning Engineer - Computer Vision & Edge AI(f/m/d)

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.

For our Smart Accessories Team, we are looking for a Machine Learning Engineer - Computer Vision & Edge AI to strengthen our agile team. We are seeking an engineer who thoroughly understands deep learning and computer vision architectures, and is ready to take on hands-on development, diagnostic, and optimization tasks.

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

Key Responsibilities

• 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 toolchains, 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, TensorFlow, 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, GitLab/GitHub, 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

Our benefits

• 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
• ... and there is so much more: Find out more here
• We provide further information on the application process in our FAQs. If you have any furhter questions Tabitha Fünfer will be happy to answer them.

Tabitha Fünfer

[email protected]

Req Id

16362

RATIONAL F&E GmbH

Siegfried-Meister-Str. 1

86899 Landsberg am Lech