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(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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- PyTorch
- TensorFlow
- graph technologies
- knowledge graphs
- large language models
Benefits
Weiterbildungsangebote
- Constant learning
- Skill growth
Lockere Unternehmenskultur
- Culture of inclusion
Gesundheits- & Fitnessangebote
- Focus on health and well-being
Flexibles Arbeiten
- Flexible working models
Ergonomischer Arbeitsplatz
- Accessibility accommodations
Noch nicht perfekt?
- SAPVollzeitnur vor OrtSeniorGarching bei München
- SAP
(Senior) Research Engineer - Foundation and World Models on Structured Data(m/w/x)
Vollzeitnur vor OrtSeniorGarching bei München - SAP
(Senior) Research Engineer - Foundation and World Models on Structured Data(m/w/x)
Vollzeitnur vor OrtSeniorGarching bei München - SAP
Lead Research Engineer - Foundation and World Models on Structured Data(m/w/x)
Vollzeitnur vor OrtSeniorGarching bei München - SAP
Lead Research Engineer: Foundation and World Models on Structured Data(m/w/x)
Vollzeitnur vor OrtSeniorGarching 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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- PyTorch
- TensorFlow
- graph technologies
- knowledge graphs
- large language models
Benefits
Weiterbildungsangebote
- Constant learning
- Skill growth
Lockere Unternehmenskultur
- Culture of inclusion
Gesundheits- & Fitnessangebote
- Focus on health and well-being
Flexibles Arbeiten
- Flexible working models
Ergonomischer Arbeitsplatz
- Accessibility accommodations
Über das Unternehmen
SAP
Branche
IT
Beschreibung
SAP innovations help over four hundred thousand customers worldwide work together more efficiently and use business insight more effectively.
Noch nicht perfekt?
- SAP
Senior Researcher - Foundation and World Models on Structured Business Data(m/w/x)
Vollzeitnur vor OrtSeniorGarching bei München - SAP
(Senior) Research Engineer - Foundation and World Models on Structured Data(m/w/x)
Vollzeitnur vor OrtSeniorGarching bei München - SAP
(Senior) Research Engineer - Foundation and World Models on Structured Data(m/w/x)
Vollzeitnur vor OrtSeniorGarching bei München - SAP
Lead Research Engineer - Foundation and World Models on Structured Data(m/w/x)
Vollzeitnur vor OrtSeniorGarching bei München - SAP
Lead Research Engineer: Foundation and World Models on Structured Data(m/w/x)
Vollzeitnur vor OrtSeniorGarching bei München