(Senior) Research Engineer (f/m/d): SAP Data for Foundation Models on Structured Data (Garching bei München (Munich), DE, 85748)

SAP SE; München; Hybrid; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

SAP SE seeks a (Senior) Research Engineer to advance foundation models on structured data. You will work with diverse teams to build and evaluate models, training datasets, and benchmarks that advance enterprise AI.

Your work will involve scaling experiments, collaborating with domain experts, and contributing to open problems in business-oriented AI. A PhD or Master’s in a relevant field and strong Python skills are essential for success.

Qualifikationen

• 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 business applications.
• Strong knowledge of SAP data models and business objects; familiarity with SAP data structures.
• Experience in training foundation models at scale is a plus.
• Fluent in Python and able to translate ideas into productive code.

Aufgaben

• Contribute to advances in foundation models on structured data and explore world models for business problems.
• Execute scientific experiments on internal and public data.
• Enable large-scale access to business data and model training in a research-driven environment.
• Develop evaluation frameworks and benchmark suites for internal and external exploration.
• Collaborate with domain experts and data owners to understand how business data supports foundation model training.

Kenntnisse

Python

Machine Learning on Structured Data

Communication skills

Foundation models at scale

Data Engineering

Ausbildung

PhD or Master’s in computer science, AI, physics, mathematics or related disciplines

Jobbeschreibung

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

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 - 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 modelsat scientific conferences and in the open-source community. We are working jointly with our academic partners to create ever better means of solvingreal businessproblems.

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.

Enablelarge scaleaccess to business data and model training in aresearch drivenenvironment.

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

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

Develop newtraining and benchmark datasets, bringingtogetherrichsemantic context with large scale business data.

Make critical design decisionsregardingtheselectionand implementation of underlying technologies.

Make models and frameworks available to theopen sourcecommunity.

What you bring:

PhD orMaster’s degree incomputerscience,artificialintelligence,physics,mathematicsor other relevant disciplines.

5+ years of professional experiencewithMachine Learning on Structured Data,anditsapplication 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 intraining foundation modelsatscaleis a plus.

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

Fluent in Pythonandthe abilityto convert your ideas into productive code.

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

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

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 innovationthrives,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]. For SAP employees: Only permanent roles are eligible for theSAP 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 ourGuidelines 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.