The AI Job Search Engine
(Senior) Researcher - Foundation and World Models on Structured Business Data(m/w/x)
Pioneering technical advances in foundation and world models for large-scale structured business data at software provider with 100,000+ employees. PhD in Computer Science or AI with a substantial record of scientific publications required. Flexible working models, focus on health and well-being.
Requirements
- PhD in Computer Science, AI, or relevant disciplines
- Academic background in Foundation Models or Machine Learning
- Substantial record of related scientific publications
- Extensive research experience with machine learning
- Ideally, experience in Causal AI
- Proficiency in Python
- Experience with PyTorch, TensorFlow, or similar
- Optional experience with graph technologies
- Ideally, experience with knowledge graphs and LLMs
Tasks
- Pioneer technical advances in foundation models
- Explore world models for business problems
- Combine semantic context with large-scale data
- Provide AI problem statements and frameworks
- Supply business-relevant data sets for research
- Monitor and analyze novel research findings
- Compare external research with internal work
- Translate research breakthroughs into top-tier publications
- Contribute to thought leadership in structured data
- Align internal initiatives with community practices
- Exchange information with the SAP-RPT-1 team
- Collaborate with established academic partners
- Supervise PhD students during internships
- Create novel benchmarks for business problems
- Develop novel architectures and models
- Publish benchmarks and models at conferences
- Contribute models to the open-source community
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- TensorFlow
- graph technologies
- knowledge graphs
- large language models
Benefits
Learning & Development
- Constant learning
- Skill growth
Informal Culture
- Culture of inclusion
Healthcare & Fitness
- Focus on health and well-being
Flexible Working
- Flexible working models
Ergonomic Workplace
- Accessibility accommodations
Not a perfect match?
- SAPFull-timeOn-siteSeniorGarching bei München
- SAP
(Senior) Research Engineer - Foundation and World Models on Structured Data(m/w/x)
Full-timeOn-siteSeniorGarching bei München - SAP
(Senior) Research Engineer - Foundation and World Models on Structured Data(m/w/x)
Full-timeOn-siteSeniorGarching bei München - SAP
Lead Research Engineer - Foundation and World Models on Structured Data(m/w/x)
Full-timeOn-siteSeniorGarching bei München - SAP
Lead Research Engineer: Foundation and World Models on Structured Data(m/w/x)
Full-timeOn-siteSeniorGarching bei München
(Senior) Researcher - Foundation and World Models on Structured Business Data(m/w/x)
Pioneering technical advances in foundation and world models for large-scale structured business data at software provider with 100,000+ employees. PhD in Computer Science or AI with a substantial record of scientific publications required. Flexible working models, focus on health and well-being.
Requirements
- PhD in Computer Science, AI, or relevant disciplines
- Academic background in Foundation Models or Machine Learning
- Substantial record of related scientific publications
- Extensive research experience with machine learning
- Ideally, experience in Causal AI
- Proficiency in Python
- Experience with PyTorch, TensorFlow, or similar
- Optional experience with graph technologies
- Ideally, experience with knowledge graphs and LLMs
Tasks
- Pioneer technical advances in foundation models
- Explore world models for business problems
- Combine semantic context with large-scale data
- Provide AI problem statements and frameworks
- Supply business-relevant data sets for research
- Monitor and analyze novel research findings
- Compare external research with internal work
- Translate research breakthroughs into top-tier publications
- Contribute to thought leadership in structured data
- Align internal initiatives with community practices
- Exchange information with the SAP-RPT-1 team
- Collaborate with established academic partners
- Supervise PhD students during internships
- Create novel benchmarks for business problems
- Develop novel architectures and models
- Publish benchmarks and models at conferences
- Contribute models to the open-source community
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- TensorFlow
- graph technologies
- knowledge graphs
- large language models
Benefits
Learning & Development
- Constant learning
- Skill growth
Informal Culture
- Culture of inclusion
Healthcare & Fitness
- Focus on health and well-being
Flexible Working
- Flexible working models
Ergonomic Workplace
- Accessibility accommodations
About the Company
SAP
Industry
IT
Description
SAP innovations help over four hundred thousand customers worldwide work together more efficiently and use business insight more effectively.
Not a perfect match?
- SAP
Senior Researcher - Foundation and World Models on Structured Business Data(m/w/x)
Full-timeOn-siteSeniorGarching bei München - SAP
(Senior) Research Engineer - Foundation and World Models on Structured Data(m/w/x)
Full-timeOn-siteSeniorGarching bei München - SAP
(Senior) Research Engineer - Foundation and World Models on Structured Data(m/w/x)
Full-timeOn-siteSeniorGarching bei München - SAP
Lead Research Engineer - Foundation and World Models on Structured Data(m/w/x)
Full-timeOn-siteSeniorGarching bei München - SAP
Lead Research Engineer: Foundation and World Models on Structured Data(m/w/x)
Full-timeOn-siteSeniorGarching bei München