Senior/Staff Applied Research Scientist (f/m/d): Foundation Models on Linked Business Data

Job Description

We help the world run better

At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from.

What you`ll do

At SAP, we are bringing together state-of-the-art AI technology with our extensive industry-specific data and deep process knowledge to create innovative AI capabilities across SAP products & services. 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 structured / 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 with SAP data, enabling our customers to run their business processes more efficiently. Strong research collaborations with academic and commercial partners are instrumental to achieve that goal. We are looking for a Senior/Staff Applied Research Scientist (f/m/d) based in Walldorf or Berlin to take on the followong tasks:

· Establish, scope and guide SAP-funded research projects at renowned international universities as well as commercial partners.

· Contribute pioneering technical advances to the development of our Foundation Models, with a strong emphasis on hands-on coding, experimentation, and model improvement.

· Stimulate academic research by publishing Business AI–relevant problem statements, frameworks, and data sets, and by translating project innovations into impactful research publications and thought leadership in Foundation Models and Generative AI.

· Keep the pulse with the research, providing insights into the latest research findings and making them comparable with internal work

What you bring

· PhD or Master’s degree in Computer Science, Artificial Intelligence, or other relevant disciplines

· Extensive experience and academic background in Foundation Models and/or Machine Learning with Graphs (e.g., GNNs), demonstrated by a substantial record of related publications (including recent works) and a well-established professional network in these fields.

· Proven experience and deep understanding of the opportunities and challenges associated with collaboration between industrial and academic research.

· Demonstrated hands-on experience in researching, prototyping, and advancing machine learning models.

· Proficiency in Python, and experience with ML frameworks such as PyTorch, TensorFlow, or similar. Optionally, hands-on experience with Neo4j, TypeDB, PyG or similar.

· Ideally, experience with Machine Learning on structured data such as in the ERP or CRM domain

· Proven history of exemplary leadership and 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

#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 and more equitable world.
SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide 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.

Requisition ID: 432626 | Work Area: Software-Research | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | #LI-Hybrid