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SA
SAP
yesterday

(Senior) Researcher - Foundation and World Models on Structured Business Data(m/w/x)

Garching bei München
Full-timeOn-siteSenior
AI/ML
Data Science

Description

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.

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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

Education

Bachelor's degree

Work Experience

approx. 4 - 6 years

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

Tools & Technologies

PythonPyTorchTensorFlowgraph technologiesknowledge graphslarge language models

Languages

EnglishBusiness 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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