(Senior) Research Engineer (f/m/d): SAP Data for Foundation Models on Structured Data

Your tasks

What you`ll do:

The Role:

Contribute to pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.

Execute scientific experiments on internal as well as public data.

Enable large scale access to business data and model training in a research driven environment.

Develop evaluation frameworks and benchmark suites, driving internal and external exploration of novel tasks

Collaborate closely with various domain specialists and data owners to understand how business data can be used for foundation model training.

Develop new training and benchmark datasets, bringing together rich semantic context with large scale business data.

Make critical design decisions regarding the selection and implementation of underlying technologies.

Make models and frameworks available to the open source community.

What you bring:

PhD or Master’s degree in computer science, artificial intelligence, physics, mathematics or other relevant disciplines.

5+ years of professional experience with Machine Learning on Structured Data, and its application in a business context.

Important: Good knowledge of SAP data and SAP applications: Their data models and business objects. Not just the extraction interfaces but down to table level.

Some experience in training foundation models at scale is a plus.

Experience in Data Engineering with a hands-on approach to solving data challenges.

Fluent in Python and the ability to convert your ideas into productive code.

Developer experience with any SAP Application and its underlying data models is a plus.

Strong communication and collaboration skills, with the ability to work effectively in cross-cultural teams.

We offer

What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.

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. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.

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: .

For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

AI Usage in the Recruitment Process

For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.

Please note that any violation of these guidelines may result in disqualification from the hiring process.

Requisition ID: 448474 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | #LI-Hybrid

Mostramos trecho e link por vaga, e o texto integral quando a fonte permite. Marcas e logotipos citados pertencem aos seus titulares.

Publicada em 15 de out. de 2026

Publicada em 10 de out. de 2026

Fonte: Statistisches Bundesamt (Destatis), tabela; dl-de/by-2-0; cálculo da StarIn