Senior Applied Research Scientist (f/m/d) - Knowledge Graphs and Generative AI
Our company culture is focused on helping our employees enable innovation by building breakthroughs together. 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're integrating state-of-the-art AI technology with our industry-specific data and deep process knowledge to innovate across SAP products & services. Large Language Models (LLMs) are transforming Machine Learning but pose challenges in business applications due to their limited understanding of structured and unstructured business data. It is SAP's mission to overcome this challenge within the realm of Business AI. Our goal is to provide Knowledge Graphs (KGs) as key differentiators to address LLM challenges and enable the development of foundation models on structured data to deliver distinctive generative AI solutions to our customers.
The Role:
• Establish and manage research collaborations with academia, industry and commercial partners
• Contribute pioneering technical advances to the combination of knowledge graphs and large language models, including hands-on contributions to model code
• Enable academic research by providing Business AI relevant problem statements, frameworks and data sets
• Keep the pulse with the research, providing insights into the latest research findings and making them comparable with internal work
• Translate project innovations into research publications and contribute to thought leadership in large language models and Generative AI.
• Work closely with the knowledge graph team to exchange information and ensure that internal initiatives and project deliverables are aligned with community best practices.
What you bring
• PhD or Master’s degree in Computer Science, Artificial Intelligence, or other relevant disciplines
• Extensive experience with Knowledge Graphs as well as large language models (e.g. graph embeddings)
• Proven professional experience in academic and industry settings
• Deep understanding of the opportunities and challenges associated with collaboration between industrial and academic research
• Academic background in LLMs, Foundation Models, or Knowledge Graphs supported by a substantial record of related publications and a well-established network in these fields.
• Proficiency in Python, and experience with ML frameworks such as PyTorch, TensorFlow, or similar.
• Ideally, professional experience with the combination of knowledge graphs and large language models in the ERP domain.
• Proven history of leading projects with a 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.
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.
We win with inclusion
SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone feels included and can run at their best. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities.
Requisition ID: 390679 | Work Area: Software-Research | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid
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