SAP

Senior Applied Scientist for Tabular ML (T3) (f/m/d)

Stellenbeschreibung:

What you’ll do

You’ll work at the intersection of advanced AI research, enterprise applications, and real-world problem solving. You will partner closely with internal teams and model researchers to evaluate and improve high‑value use cases. In this applied, hands‑on role you will analyze challenging use cases across the organization, understand their business context, and help push our tabular foundation models to their full potential. Through debugging, benchmarking, and deep technical iteration you will uncover patterns, limitations, and opportunities, turning them into actionable insights that directly inform model research and architecture improvements. You will collaborate deeply with application teams and domain experts, serving as a bridge between practical use‑case execution and ongoing model research.

The Role

  • Partner with internal teams and model researchers to evaluate high‑value use cases and understand their business context.
  • Analyze use cases across the organization and advise on how to make them work effectively with our tabular foundation models.
  • Work hands‑on with cutting‑edge tabular foundation models to debug and benchmark model behavior, pushing performance on meaningful enterprise problems.
  • Distill patterns, limitations, and opportunities from applied work into actionable insights, including suggestions for improvements to model architecture.

What You Bring

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or other relevant disciplines with 5+ years of professional experience in developing machine learning models.
  • Extensive hands‑on experience developing predictive use cases on tabular data in a data scientist role, ideally with S/4HANA data.
  • Deep mastery of deep learning and Transformer architectures, including application to structured enterprise data, and strong software engineering skills in Python with a proven track record of building and scaling experiments with PyTorch or TensorFlow.
  • Strong communication and collaboration skills, with the ability to work effectively in cross‑cultural teams.

Meet Your Team

The team’s mission is to develop foundation models for structured data, starting with the launch and continued evolution of SAP‑RPT‑1. As the first generation of our relational model portfolio, SAP‑RPT‑1 represents our commitment to pioneering new research in a domain where SAP’s expertise in enterprise data structures provides an unmatched competitive edge. Join us in developing next‑generation models that bridge the gap between cutting‑edge AI research and the complex, structured reality of global enterprise data.

Bring out your best

SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose‑driven and future‑focused, with a highly collaborative team ethic and commitment to personal development.

We win with inclusion

SAP’s culture of inclusion, focus on health and well‑being, and flexible working models help ensure that everyone — regardless of background — feels included and can run at their best. We invest in our employees to inspire confidence and help everyone realize their full potential.

Equal Employment Opportunity

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e‑mail with your request to Recruiting Operations Team:

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Stelleninformationen

  • Veröffentlichungsdatum:

    21 Jul 2026
  • Standort:

    Garching bei München

    Einsatzort:

    Germany
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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