Senior AI/ML Applied Scientist - Generative AI and Knowledge Graph
SAP
- Palo Alto, CA
- Permanent
- Full-time
- 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.
- PhD or master's degree in Computer Science, Artificial Intelligence, or other relevant disciplines.
- Extensive experience with Foundation Models 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.
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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: 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 136,300 - 283,400 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. Please reference this link for a summary of SAP benefits and eligibility requirements: .Requisition ID: 388985 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-HybridRequisition ID: 388985Posted Date: Mar 1, 2024Work Area: Software-Design and DevelopmentCareer Status: ProfessionalEmployment Type: Regular Full TimeExpected Travel: 0 - 10%Location:Palo Alto, CA, US, 94304Job alert