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

SAP; Garching bei München; Vor Ort; EUR 80.000 - 100.000; Vollzeit

Benefits dieser Stelle

Constant learning and skill growth

Flexible working models

Health and well-being focus

Zusammenfassung

A global enterprise software leader in Garching bei München seeks a research scientist to explore AI methods on structured data. The ideal candidate will possess a PhD in relevant fields and strong expertise in Foundation Models and Machine Learning. They will drive research initiatives and collaborate with academic partners to transform research into actionable insights. The position requires proficiency in Python and frameworks like PyTorch or TensorFlow. Join a culture that values inclusion and personal growth.

Qualifikationen

• PhD in Computer Science, Artificial Intelligence, physics, or mathematics.
• Background in Foundation Models / Machine Learning on structured data.
• Experience in Causal AI related to foundation models.

Aufgaben

• Drive technical advances in foundation models on structured data.
• Define research agenda for a squad of research scientists.
• Translate research breakthroughs into publications for conferences.

Kenntnisse

Foundation Models

Machine Learning

Python

Artificial Intelligence

Causal AI

Ausbildung

PhD in Computer Science or related fields

Tools

PyTorch

TensorFlow

Jobbeschreibung

We help the world run better At SAP, we keep it simple: you bring your best to us, and we’ll bring out the best in you. We’re builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what’s next. The work is challenging – but it matters. You’ll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What’s in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.

What you’ll do

At SAP’s Business AI Research, we are exploring the next frontier of AI methods on structured business data – graphs, tables, time series, and more. Foundation Models on Structured Data, like SAP‑RPT‑1, have ushered in the GenAI era for business‑relevant scenarios that have so far been addressed with classical, often tree‑based methods. Now, we are taking the next step. We collaborate with our existing applied research teams in creating novel benchmarks for business problems and the development of novel architectures and models, with the goal to publish benchmarks and models at scientific conferences and in the open‑source community. We are working jointly with our academic partners to create ever better means of solving real business problems.

• Drive pioneering technical advances to the field of foundation models on structured data, as well as explore world models for solving business problems.
• Expand the horizon of what is possible by bringing together rich semantic context with large‑scale business data.
• Define the research agenda for a small squad of research scientists and engineers.
• Enable academic research by providing Business AI relevant problem statements, frameworks, and data sets.
• Keep the pulse with novel research, providing insights into the latest research findings and making them comparable with internal work.
• Translate applied research breakthroughs into research publications at relevant top‑tier conferences and contribute to thought leadership in foundation and world models on structured data.
• Collaborate closely with various domain specialists and data owners to understand how the data can be used for world model training.
• Contribute to thought leadership in an entirely new field of Foundation and World Models on Structured Data.
• Work closely with the team developing the relational pre‑trained transformer (SAP‑RPT‑1) to exchange information and ensure that internal initiatives and project deliverables are aligned with community best practices.
• Collaborate with established academic partners and define new collaborations with top‑tier academic researchers.
• Supervise PhD students during summer internships or as part of academic collaborations.

What You Bring

• PhD in Computer Science, Artificial Intelligence, physics, mathematics, or other relevant disciplines.
• Candidate must have an academic background in one of the following fields: Foundation Models / Machine Learning on large‑scale structured data, World Models. This should be supported by a substantial record of related publications, including recent works, at top‑tier conferences and a well‑established network in these fields.
• A strong research vision for foundation models on structured data, and of how world models impact the development of such foundation models.
• Extensive research experience with machine learning on structured data.
• Ideally, experience in Causal AI and how it relates to foundation models on structured data.
• Proven experience and deep understanding of the opportunities and challenges associated with collaboration between industrial and academic research.
• Proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or similar. Optionally, hands‑on experience with (knowledge) graph technologies.
• Ideally, professional experience with the combination of knowledge graphs and large language models in the ERP domain.
• Proven history of leading projects with a strategic mindset complemented by superior organizational abilities.

Meet Your Team

SAP’s AI organization is dedicated to seamlessly infusing AI into all enterprise applications, enabling customers, partners, and developers to enhance business processes and generate remarkable business value. Join our international AI team where innovation thrives, opportunities for personal development abound, and exceptional colleagues collaborate globally.

Bring out your best

SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end‑to‑end business application software and related services for database, analytics, intelligent technologies, and experience management. 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. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.

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: [e-mail].

Requisition ID: 448468 | Work Area: Software‑Research | Expected Travel: 0 – 10% | Career Status: Berufserfahren | Employment Type: Vollzeit, unbefristet

AI Usage in the Recruitment Process

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