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Expert AI/ML Scientist
2 months ago
Expert AI/ML Scientist - Generative AI and Knowledge Graphs
Software-Design and Development
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
Summary:
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.
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.
The Role:
Unique opportunity to lead the development of Business AI Scenarios on SAP business data embedded in a rich and 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.
Define processes, methods, hypothesis, experiments and review results from the ground up with an understanding to put them together for End-to-End Foundational Model.
Leverage semantic business and process knowledge in the form of a Knowledge Graph.
Collaborate cross-functionally with other teams to understand needs and requirements, ensuring the Foundation Models/LLMs align 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 master's degree in Computer Science, Artificial Intelligence, or other relevant disciplines.
Extensive experience with LLMs or Deep Learning as well as Machine Learning with Knowledge Graphs (e.g. GNNs).
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.
Ideally, professional experience with Machine Learning on structured data such as in the ERP or CRM domain.
Exceptional teamwork abilities, strong leadership and strategic thinking skills.
Substantial publication record related to LLMs, Foundation Models, or Knowledge Graphs.
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.
#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.
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 185, ,800 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.
Nearest Major Market: San Jose
Nearest Secondary Market: Palo Alto
Job Segment: ERP, Cloud, Embedded, SAP, Scientific, Technology, Engineering
