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Principal Researcher - Foundation and World Models on Structured Business Data(m/w/x)
Description
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.
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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
Education
Work Experience
approx. 4 - 6 years
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
Tools & Technologies
Languages
English – Business Fluent
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)
The AI Job Search Engine
Description
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.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
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
Education
Work Experience
approx. 4 - 6 years
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
Tools & Technologies
Languages
English – Business Fluent
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.
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