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: You’ll work at the intersection of advanced AI research, enterprise applications, and real-world problem solving, partnering closely with internal teams and model researchers to evaluate and improve high-value use cases. In this applied, hands-on role, you’ll 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’ll uncover patterns, limitations, and opportunities, and turn them into actionable insights that directly inform model research and model architecture improvements. You’ll collaborate deeply with application teams and domain experts, serving as a bridge between practical use-case execution and ongoing model research. Your input will have a direct impact on how our models evolve and how effectively they perform on meaningful enterprise problems. 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 master of deep learning and Transformer architectures, including application to structured enterprise data, along with strong software engineering skills in Python and 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: SAP is uniquely positioned to lead the next wave of AI by infusing intelligence directly into the business processes that run the world. Our 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. We are looking for innovators to join us in this journey to develop next-generation models with even higher impact, bridging 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. 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: 448375 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time #LI-Hybrid ​