Lead Research Scientist - Data Privacy - Preserving and Secure AI

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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.

 

SAP AI Product Engineering is responsible for designing central frameworks and cloud services such as Joule, Generative AI Hub, AI Core, and Document Information Extraction as the AI foundation for embedded AI throughout our portfolio in addition to our efforts towards SAP’s foundation models, both our own tabular business models and building on top of partner LLMs, and generative AI technologies. 

 

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. 

 

The Role: 

• Unique opportunity to lead the area of data privacy for business AI using LLMs and foundation models. 
• The primary objective of the role is to identify and develop technical strategies to safeguard our confidential training data from unauthorized access by prompting the Foundation model. This includes scenarios such as unintended data extraction, leakage, or targeted attacks. 
• 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 End-to-End business AI problem. 
• Liaise with the legal department to ensure alignment between data privacy approaches and legal requirements.
• Foster partnerships with academic institutions, promoting research collaboration and knowledge exchange in the field of data privacy. 
• Contribute to thought leadership in a revolutionary new data modality for 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 oin the intersection Foundation Models, Machine Learning, and data privacy research. 
• 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.  

 

 

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 a