Public summary
Seeking an experienced AI researcher to pioneer foundational and world model advances on structured business data within a leading global enterprise software research team. The role involves collaborating with applied research teams and academic partners to develop novel benchmarks and architectures, publishing research at top-tier conferences, and supervising PhD students. Requires a PhD in Computer Science, AI, or related fields with strong publication record in foundation models or machine learning on structured data, plus proficiency in Python and ML frameworks.
Location and work setup
- Location
- Garching bei München
- Remote status
- Hybrid
- German requirement signal
- No German Required Detected
- Detected job language
- English
Responsibilities
Lead technical advancements in foundation and world models on structured business data; develop benchmarks and novel architectures; collaborate closely with applied research and academic partners; translate research breakthroughs into publications at leading scientific venues; contribute thought leadership; supervise PhD students; align internal research with community best practices.
Qualifications
PhD in Computer Science, Artificial Intelligence, Physics, Mathematics or related discipline; substantial publication record in foundation models, machine learning on structured data, or world models; extensive research experience with machine learning on structured data; proficiency in Python and ML frameworks like PyTorch or TensorFlow; ideally experience in Causal AI, knowledge graph technologies, and application in ERP domain; strong academic collaboration skills.