SAP is a technology company that develops enterprise application software for companies and industries across diverse sectors.

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 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. 
 
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.  
 
 

  
 
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.  
 
  
 
#SAPBusinessAICareers 
 
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: Careers@sap.com. 
 
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 |

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