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Machine Learning Engineer (f/m/d)

  • On-site, Hybrid
    • Bornheim, Nordrhein-Westfalen, Germany
  • Software Development

Job description

Ready to shape the future of weather forecasting?

  • Are you passionate about applying ML methods to analyze and process weather data with Python, PyTorch, NumPy, and OpenCV?

  • Would you like to help improve the visualization of radar and satellite data using neural networks?

  • Do you want to contribute your expertise in Machine Learning and drive projects forward together with us?

  • Do you find it easy to analyze and process large amounts of data?

Job requirements

We’ve got the right job for you!

Machine Learning Engineer

(f/m/d)

Weather is more

With around 160 employees worldwide, WetterOnline is committed not only to delivering highly accurate weather forecasts but also to fostering a great working environment. As a Machine Learning Engineer (f/m/d), you’ll use your know-how to ensure the effective application of ML methods in object detection, image generation, and segmentation of diverse weather data. Whether at one of our four locations – Bonn, Bornheim, Coventry, or Miami – or remotely by arrangement: we look forward to your support!

To be successful with us, you’ll need:

  • A degree in computer science, physics, mathematics, or a comparable field of study.

  • Strong programming skills in Python and experience with efficient processing of large datasets.

  • Experience in designing and training ML models, particularly in the field of computer vision.

  • An understanding of physical principles and an interest in data-based modeling.

  • Ideally, basic knowledge of C++ and initial experience in high-performance computing.

Your development environment:

  • Operating system: Ubuntu Linux with our own build system

  • Development tools: Jupyter Notebook/JupyterLab, VS Code

  • Technologies/frameworks: Python, PyTorch, NumPy, OpenCV, C++, OpenMP

  • Version control: Git/GitLab

What we offer you:

  • Interdisciplinary collaboration: Be part of cross-functional projects and work closely with colleagues from Development, Product, Marketing, and other teams.

  • Innovation and freedom to shape things: Bring in your ideas and actively help shape modern technologies.

  • Flexibility that fits your life: Whether in the office, remote, or hybrid – we make sure your job works in harmony with your daily life, your needs, and your current life stage.

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