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.

Summary:
At SAP, we amplify the strength of AI technology, fusing it with our robust industry-focused data and profound process knowledge. Our vision is to infuse every SAP application with sophisticated AI capabilities, revolutionizing the way businesses operate. Large Language Models (LLMs) hold immense potential to change the way we work and develop products. They are reshaping the landscape of Machine Learning across various domains. However, their limited ability to leverage tabular data leaves a considerable share of enterprise data untapped. It is SAP's mission to overcome this challenge within the realm of Business AI. Our goal is to adapt Foundation Models to SAP data, enabling our clients to solve their business processes more effectively.
The Role:
• Unique opportunity to develop a Foundation Model on structured business data.
• Design and implement scalable pipelines and models, address open challenges and lead project workstreams.
• Conduct experiments and perform rigorous evaluations to measure the performance and effectiveness of the developed models.
• Spearhead engineering and architecture efforts to move model experiments into production
• Work with large scale tabular enterprise data, optimize and fine-tune models to improve accuracy, scalability, and interpretability.
• Stay up to date with the latest advancements in the field of Deep Learning, Foundational Models, and Generative AI

What you bring
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or other relevant disciplines. PhD is a plus.
• 5+ years of related professional experience incl. 3+ years hands-on experience with Machine Learning on structured/tabular enterprise data such as in the ERP or CRM domain.
• Experience with implementing data preprocessing pipelines for relational structured data
• Deep understanding of Machine Learning algorithms and techniques, particularly in the context of structured data. Experience with Foundation Models, Transformer Models, or Deep Learning with their application in a business context.
• Software engineering excellence in Python and proven experience with ML frameworks such as PyTorch or TensorFlow
• Strong communication and collaboration skills, with the ability to work effectively in cross-cultural teams

Where you belong
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. The team has also been publishing parts if the work in top-tier conferences (e.g. ICML, NeurIPS

SAPAICareers, #SAPBusinessAICareers, #SAPAIGermany

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

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

Requisition ID: 434326 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid

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