Lead/Senior Applied Research Scientist (f/m/d) - Data Privacy-Preserving and Secure AI

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 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 lead the area of data privacy for a newly established Foundation Model on structured business data.
•    Your primary objective is to identify and develop technical strategies to protect our confidential training data, with a particular focus on ensuring differential privacy. This includes scenarios such as unintended data extraction, leakage, or targeted attacks on trained models.
•    Design and implement innovative methodologies to ensure the highest level of data integrity and security, as well as adhering to the highest ethical and regulatory standards with the Foundation Model.
•    Define processes, methods, hypothesis, experiments and review results from the ground up with an understanding to put them together for an End-to-End Foundational Model.
•    Liaise with the legal department to ensure alignment between data privacy approaches and legal requirements.
•    Foster partnerships with academic institutions, promoting research collaborations and knowledge exchange in the field of data privacy.
•    Contribute to thought leadership in a revolutionary new data modality for Foundation Models and Generative AI.

What you bring
•    PhD or Master’s degree in Computer Science, Artificial Intelligence, or other relevant disciplines.
•    Extensive experience and substantial publication record on the intersection of Foundation Models, Machine Learning, and data privacy research, in particular in differential privacy
•    Strong technical vision on how to ensure data privacy for Foundation Models.    
•    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.
•    Professional experience with Machine Learning on structured data, preferably in the ERP or CRM domain 
•    Ability to collaborate with academia for research. 


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 #SAPAICareers


We build breakthroughs together

SAP 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 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:
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: 390101  | Work Area: Software-Research  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Regular Full Time   | #LI-Hybrid


Requisition ID:  390101
Posted Date:  May 11, 2024
Work Area:  Software-Research
Career Status:  Professional
Employment Type:  Regular Full Time
Expected Travel:  0 - 10%

Berlin, DE, 10557

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