• An attractive remuneration package
• A discounted public transport ticket so you're always mobile
• Discounts on many products and services provided by the Siemens Corporate Benefits
• Appealing Siemens pension benefits
• Access to Siemens share plans
• 30 days of paid vacation and a variety of flexible work schedules that allow time off for you and your family
• 2 to 3 days of mobile working per week as a global standard
• Location-dependent childcare to help balance family and work

The individual benefits are subject to regulatory, contractual, or corporate conditions. 

You’ll make an impact by

• Design, implement, and present human-centered AI solutions for real industrial use cases
• Take responsibility in AI projects with our customers: from the concept to the running demonstrator - create business impact
• Understand customer needs, derive requirements for our research roadmaps, and drive research projects focusing on human-AI collaboration in a team of dedicated researchers
• Consulting and project acquisition
• Identify trends in data analytics and artificial intelligence and actively share and develop your research contributions
• Supervise research students and PhD candidates and contribute to the academic community

• Education: MSc or PhD in Machine Learning, Human-Computer Interaction, or related fields
• Experience: At least 5+ years in developing interactive AI systems. Industrial experience is a strong plus. You have publications in Human-AI Interaction, (Interactive) Machine Learning, Explainable AI or Responsible AI
• Required Technical Skills / Experience:
• Building multi-agent AI systems and orchestration frameworks
• Python ecosystems including FastAPI, Streamlit, Gradio
• LLM frameworks (LangChain, LlamaIndex, Haystack, CrewAI)
• Further Preferred Skills / Experience:
• Vector databases and semantic search (Pinecone, Weaviate, Qdrant, pgvector)
• Modern ML frameworks (PyTorch, JAX, vLLM)
• Frontend development skills (React, Vue.js, TypeScript, D3.js) 
• MLOps tools and, cloud platforms (AWS, Azure, Vertex AI, SageMaker, Databricks, MLflow, Kubeflow), and containerization (Docker, Kubernetes)
• Knowhow in responsible AI and explainable practices and tools (e.g., quantifying and calibrating uncertainty, fairness metrics, AI testing frameworks, LIME, SHAP etc)
• Analytics experience in industrial data domains (e.g., time series, vision) and multimodal AI systems (vision-language models)
• Languages: Fluent English required, German is a plus

At Siemens, we believe that feeling valued and included is the foundation for doing great work. That’s why we aim to create an inclusive workplace where everyone feels a sense of belonging, and where individual perspectives and experiences are celebrated. Our commitment to fairness and respect extends to every applicant. 

As an equal opportunity employer, we welcome applications from individuals of all backgrounds and particularly encourage applications from persons with disabilities.

About us

Applying AI in an industrial context:

Data analytics in particular has become very important for Siemens, because digitalization and IoT environments generate huge volumes of data that no human could ever fully analyze and interpret – but AI is up to the task and therefore allows us to get the most from our data. More sophisticated AI techniques like deep learning and reinforcement learning have also developed into the cornerstones of industrial AI. They enable programs and machines to find solutions by themselves, which offers a new universe of possibilities for autonomous or collaborative machines. Siemens has been working in the areas of data analytics and AI for over 30 years and has a proven track record of generating business by successfully applying AI in a variety of industrial contexts.

www.siemens.de/careers – if you would like to find out more about jobs & careers at Siemens.  

FAQ  – if you need further information on the application process.