SAP

Principal Researcher (f/m/d) - Foundation and World Models on Structured Business Data

Stellenbeschreibung:

Overview

In SAP’s Business AI Research, you drive breakthrough foundation and world models tailored for structured business data. You lead a small team of researchers and engineers to define the research agenda, collaborate with academia, and publish impactful work. You translate breakthroughs into publications and guide data-driven, scalable solutions for ERP-like contexts. This role blends deep scientific inquiry with strategic collaboration across industry and academia, shaping AI methods for business applications.

Leistungen / Benefits
  • great benefits
  • wellbeing focus
  • flexible working models
  • international team
  • personal development opportunities
Verantwortungsbereiche
  • Define the research agenda for a small squad of researchers and engineers
  • Advance foundation models and world models for structured data and business problems
  • Collaborate with domain experts and data owners to frame problem statements and datasets
  • Publish benchmarks and models at top conferences and in open source
  • Translate research breakthroughs into publications and drive thought leadership
  • Coordinate with SAP-RPT-1 team to align with community best practices
  • Foster collaborations with academic partners and supervise PhD students during internships
  • Ensure alignment of internal initiatives with industry best practices
Zentrale Anforderungen
  • PhD in Computer Science, AI, physics, mathematics or related disciplines
  • Strong research record with publications in top-tier venues
  • Extensive experience with machine learning on structured data
  • Proficiency in Python and ML frameworks (PyTorch, TensorFlow)
  • Experience with knowledge graphs and ERP-domain contexts is a plus
  • Understanding of foundation models and world models and their application to business data
  • Experience with collaboration between industry and academia
  • Project leadership and strategic mindset
  • collaboration
  • strategic thinking
  • strong communication
  • Foundation Models / Machine Learning on structured data
  • World Models
  • Causal AI (preferable)
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Stelleninformationen

  • Veröffentlichungsdatum:

    25 Sep 2026
  • Standort:

    München

    Einsatzort:

    Germany
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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