We help the world run betterOur 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!At SAP, we integrate AI technology with extensive industry-specific data and deep process knowledge to create innovative AI capabilities for all SAP applications. 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 lead the development of a Foundation Model on structured business data embedded in a diverse business context.
Technical lead for the project team of AI Scientists and Data Engineers, providing strategic guidance and overseeing project execution.
Design a representation suitable for Self-Supervised Learning on data across the entire SAP application and process portfolio.
Collaborate cross-functionally with other teams to understand needs and requirements, ensuring the Foundation Model aligns with strategic company objectives of embedding AI into our product portfolio.
Maintain up-to-date knowledge of AI and Data Engineering trends and apply this expertise to improve team performance and product quality.
Establish and drive research collaborations with academic and commercial partners.
Contribute to thought leadership in a revolutionary new data modality for Foundation Models and Generative AI.
What you bring:
PhD or masters degree in Computer Science, Artificial Intelligence, or other relevant disciplines.
Extensive experience with Foundation Models as well as Machine Learning
Professional experience with Machine Learning on structured data such as in the ERP or CRM domain is preferred.
Deep understanding of issues and opportunities of applying Generative AI in a business context.
Proficiency in Python, and experience with ML frameworks such as PyTorch, TensorFlow, or similar.
Exceptional teamwork abilities, strong leadership and strategic thinking skills.
Substantial publication record related to LLMs and Foundation Models
We build breakthroughs togetherSAP innovations help more than 400,000 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 200 million users and more than 100,000 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, we build breakthroughs, together.We win with inclusionSAPs 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.EOE AA M/F/Vet/DisabilityQualified 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 : SAPbelieves the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAPs 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 USD.The actual amount to be offered to the successful candidatewill be within that range, dependent upon the key aspects of each case which may include education, skills,experience, scope ofthe role, location, etc. as determinedthrough theselection 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) .Requisition ID: 378787 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-HybridFull-time