Within Siemens' central AI research unit (~230 AI researchers worldwide), our research group is pioneering approaches to make industrial AI systems more collaborative, interpretable, and trustworthy. How to make AI software development and application trustworthy (robust, transparent, explainable, bias-free etc)? That’s why our group focuses on research on Human AI Collaboration, Explainable AI, and Trustworthy AI.
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
~ 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
~ Since each of over 300,000 team members feels that other benefits are particularly important, and we cannot list our entire benefit portfolio here, you can find more information here.
The individual benefits are subject to regulatory, contractual, or corporate conditions.
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
Python ecosystems including FastAPI, Streamlit, Gradio
LLM frameworks (LangChain, LlamaIndex, Haystack, CrewAI)
Frontend development skills (React, Vue.js, TypeScript, D3.js)
quantifying and calibrating uncertainty, fairness metrics, AI testing frameworks, LIME, SHAP etc)
Analytics experience in industrial data domains (e.g., Fluent English required, German is a plus
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. 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.
– if you would like to find out more about jobs & careers at Siemens.