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.
We help the world run better
Our company culture is focused on helping our employees enable innovation by building breakthroughs together. 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. Apply now!
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 and other foundation models hold immense potential to change the way we work and develop products, ultimately redefining businesses and opening up exciting new research questions. What are effective strategies for agents to interact with Business Data at scale? How should we train foundation models on structured data stored in SAP's relational databases, @contextualized by SAP's vast operational business knowledge? How does explicit knowledge modeling, in the form of knowledge graphs, enable new neurosymbolic methods? Your task is to help us answer these questions! The Role:
· Pioneer novel methods in AI based on SAP's vast and unique data, with a strong emphasis on hands-on coding, experimentation, and technical improvements.
· 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.
· Establish, scope and guide SAP-funded research projects at renowned international universities as well as commercial partners
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 or Knowledge Graphs, demonstrated by a profound record of related publications (including recent works) at top tier conferences, 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 and Knowledge Modeling 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.
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 (https://one.int.sap/me@sap/jobs\and\hiring/employee_referral/region/0000/lang/en) , according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.
Compensation Range Transparency : SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAP's commitment to pay equity. SAP provides the annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role. The targeted combined range for this position is 164700 - 420000USD) USD. The actual amount to be offered to the successful candidate will be within that range, dependent upon the key aspects of each case which may include education, skills, experience, scope of the role, location, etc. as determined through the selection process. Any SAP variable incentive includes a targeted dollar amount and any actual payout amount is dependent on company and personal performance. Please reference this link for a summary of SAP benefits and eligibility requirements: SAP North America Benefits (https://www.sapnorthamericabenefits.com/en/public/welcome) .
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 (https://jobs.sap.com/content/Ethical\usage\of\AI\in\the\recruiting\process/?locale=en\US) .
Please note that any violation of these guidelines may result in disqualification from the hiring process.
Requisition ID: 441377 | Work Area: Software-Research | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid
