Stadler Rail Group
Wallisellen
Yesterday
Stadler: Machine Learning Engineer
- Publication date:22 October 2025
- Workload:100%
- Place of work:Wallisellen
Job summary
Stadler offers a wide range of international career opportunities. Join us to grow beyond yourself and make an impact!
Tasks
- Design, build, and maintain impactful machine learning solutions.
- Collaborate on NLP and computer vision to enhance tools and processes.
- Write production-quality code integrating ML components into systems.
Skills
- Strong Python and PyTorch skills; understanding of Git and Docker.
- Deep knowledge of ML fundamentals, especially NLP and CV.
- Excellent problem-solving skills and a curious, value-driven mindset.
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About the job
Stadler offers a wide range of international career opportunities. Here you get the chance to grow beyond yourself, take on responsibility and deliver top performance in committed teams. We are looking for motivated talents who want to shape the mobility of tomorrow with us. Are you ready to achieve great things with us?
HOW YOU CAN MAKE AN IMPACT
- Design, build, and maintain machine learning solutions with clear business impact
- Work with NLP and computer vision to enhance internal tools and processes
- Write production-quality code, including integration of ML components into larger software systems
- Collaborate with internal stakeholders to understand needs and deliver practical solutions
- Contribute to defining the technical direction of a new AI team
HOW YOU WILL CONTRIBUTE
Motivated Machine Learning Engineer role at Stadler Signalling. Contribute to building ML-powered tools from the ground up, focusing on NLP (including LLMs), computer vision, and software engineering. Responsibilities include developing production-ready systems, integrating ML components, writing clear documentation, and supporting cross-team adoption. Opportunity to shape a fast-growing initiative with real impact.
Your Profile
- Strong Python and PyTorch skills; additional languages and ML frameworks are a plus
- Solid knowledge of Git, Docker, and source control
- Deep understanding of ML fundamentals, especially NLP and CV
- Independent, adaptable, and proactive in dynamic environments
- Excellent problem-solving, curiosity, and value-driven mindset
- Fluent in English; German is an advantage
YOUR BENEFITS
- discounts on various leisure activities, phone subscriptions, and insurance;
- regular company events
- contributions to further education
Frederike Meyer
HR Business Partner
+41 44 878 82 76
About the company
Stadler Rail Group
Wallisellen
Reviews
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- Management style1.7
- Salary and benefits2.2
- Career opportunities2.5
- Working atmosphere2.0