SAP SE
AI/ML Scientist - Generative AI and Knowledge Graph (Seattle OR Palo, Alto)
SAP SE, Seattle, Washington, us, 98127
AI/ML Scientist - Generative AI and Knowledge Graph (Seattle OR Palo, Alto)
At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. 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.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. 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.The Role:Collaborate with senior AI scientists to research and develop novel approaches for building Foundation Models for structured data.Design and implement scalable algorithms and architectures to process and analyze large-scale structured datasets efficiently.Conduct experiments and perform rigorous evaluations to measure the performance and effectiveness of the developed models.Optimize and fine-tune models to improve accuracy, scalability, and interpretability.Stay up to date with the latest advancements in the field of Deep Learning, Foundational Models, and Generative AI.What you bring:Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or other relevant disciplines. PhD is a plus.Experience with Foundation Models, LLM and their application in a business context.Solid understanding of Machine Learning algorithms and techniques, particularly in the context of structured data.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.Strong communication and collaboration skills, with the ability to work effectively in cross-cultural teams.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.Bring out your bestSAP innovations help more than four hundred thousand 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 inclusionSAP’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. 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.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. The targeted combined range for this position is 101300 - 210000(USD) USD. The actual amount to be offered will be within that range, dependent upon education, skills, experience, scope of the role, location, etc.Requisition ID: 396261 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid
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At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. 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.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. 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.The Role:Collaborate with senior AI scientists to research and develop novel approaches for building Foundation Models for structured data.Design and implement scalable algorithms and architectures to process and analyze large-scale structured datasets efficiently.Conduct experiments and perform rigorous evaluations to measure the performance and effectiveness of the developed models.Optimize and fine-tune models to improve accuracy, scalability, and interpretability.Stay up to date with the latest advancements in the field of Deep Learning, Foundational Models, and Generative AI.What you bring:Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or other relevant disciplines. PhD is a plus.Experience with Foundation Models, LLM and their application in a business context.Solid understanding of Machine Learning algorithms and techniques, particularly in the context of structured data.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.Strong communication and collaboration skills, with the ability to work effectively in cross-cultural teams.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.Bring out your bestSAP innovations help more than four hundred thousand 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 inclusionSAP’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. 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.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. The targeted combined range for this position is 101300 - 210000(USD) USD. The actual amount to be offered will be within that range, dependent upon education, skills, experience, scope of the role, location, etc.Requisition ID: 396261 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid
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