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Principal Researcher - Foundation and World Models on Structured Business Data(m/w/x)
Research agenda leadership for a small squad focused on causal AI and semantic context for structured business data. PhD in Computer Science with a proven machine learning research vision required. Flexible working models, focus on health and well-being.
Requirements
- PhD in Computer Science or relevant disciplines
- Academic background in Foundation Models or ML
- Strong research vision for foundation models
- Extensive research experience with machine learning
- Ideally, experience in Causal AI
- Experience in industrial and academic collaboration
- Proficiency in Python and ML frameworks
- Ideally, experience with knowledge graphs
- Proven history of leading projects
Tasks
- Drive technical advances in foundation and world models
- Solve business problems using structured data
- Combine semantic context with large-scale business data
- Define the research agenda for a small squad
- Provide AI problem statements and frameworks to academia
- Monitor and compare novel research with internal work
- Publish research breakthroughs at top-tier conferences
- Contribute to thought leadership in structured data models
- Collaborate with domain specialists on world model training
- Align internal projects with community best practices
- Collaborate with and define new academic partnerships
- Supervise PhD students during internships and collaborations
- Develop novel benchmarks for business problems
- Create novel architectures and models for open-source release
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- TensorFlow
- knowledge graph technologies
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
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Principal Researcher - Foundation and World Models on Structured Business Data(m/w/x)
Research agenda leadership for a small squad focused on causal AI and semantic context for structured business data. PhD in Computer Science with a proven machine learning research vision required. Flexible working models, focus on health and well-being.
Requirements
- PhD in Computer Science or relevant disciplines
- Academic background in Foundation Models or ML
- Strong research vision for foundation models
- Extensive research experience with machine learning
- Ideally, experience in Causal AI
- Experience in industrial and academic collaboration
- Proficiency in Python and ML frameworks
- Ideally, experience with knowledge graphs
- Proven history of leading projects
Tasks
- Drive technical advances in foundation and world models
- Solve business problems using structured data
- Combine semantic context with large-scale business data
- Define the research agenda for a small squad
- Provide AI problem statements and frameworks to academia
- Monitor and compare novel research with internal work
- Publish research breakthroughs at top-tier conferences
- Contribute to thought leadership in structured data models
- Collaborate with domain specialists on world model training
- Align internal projects with community best practices
- Collaborate with and define new academic partnerships
- Supervise PhD students during internships and collaborations
- Develop novel benchmarks for business problems
- Create novel architectures and models for open-source release
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- TensorFlow
- knowledge graph technologies
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
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
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.
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