Global weather platform serving 35M+ users with ML-powered radar and forecasting
WetterOnline is a public weather information provider with 35M+ monthly visitors globally, running a modern web stack (Angular, Node.js, TypeScript) alongside scientific computing tools (PyTorch, NumPy, OpenCV). The tech mix reveals a dual-core business: a consumer-facing web application and an in-house ML practice focused on meteorological analysis. Hiring is heavily engineering-skewed (22 of 24 open roles) with a cluster of intern+ mid-level positions, suggesting either product velocity acceleration or a known talent-ramp phase. Active projects center on radar visualization, object detection in weather imagery, and neural network-based data rendering—indicating investment in AI-driven forecasting beyond traditional models.
WetterOnline, founded in 1996 and based in Bonn, Germany, operates one of the world's largest global weather information platforms. The company reaches 35M+ users monthly via web and mobile apps, serving both consumers and business customers. A team of ~160 people across product, engineering, meteorology, marketing, and operations develops weather forecasting software and visualization tools. The platform spans multiple surfaces (progressive web app, native mobile) and integrates real-time radar, satellite, and algorithmic forecasting. Currently, WetterOnline hires exclusively in Germany with an emphasis on engineering roles.
Frontend: Angular, TypeScript, WebGL, HTML5/CSS. Backend: Node.js, Python, C++, Go, Rust. Infrastructure: Azure, AWS, Linux, Windows, macOS. ML/data: PyTorch, NumPy, OpenCV, Jupyter. CI/CD: Git, GitLab.
Radar visualization and monitoring, international progressive web app, object detection and image segmentation of weather data, neural network-based satellite/radar rendering, storm warning systems, and meteorological data analysis.
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