Machine Learning Engineer - Computer Vision & Edge AI (m/f/d)
Anf.-Kennung: 16362
When it comes to intelligent kitchen equipment and digital products, the RATIONAL Group is the global market and technology leader. Now its 2.900 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.
Tasks
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
Profile
If you do not meet all requirements or would like to develop towards in 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 hold 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 and 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
Excellent English skills (C1) and German skills are an advantage
We offer
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
Further information
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
RATIONAL
Apply now!
RATIONAL F&E GmbH
Siegfried-Meister-Str. 1
86899 Landsberg am Lech
Deutschland
We show an excerpt and a link, and the full text when the source allows it. Brands and logos shown belong to their owners.
