Staff Machine Learning Engineer - Research & Innovation

We help the world run better

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. 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.

Summary:

As part of the Research & Innovation (R&I) team based out of Silicon Valley you will spearhead our efforts to research and prototype new AI offerings create strategic platform partnerships within the AI ecosystem and help position SAP as the AI thought leader for enterprise solutions.

About the team:

The mission of the Research & Innovation team is to contextualize and pioneer emerging technologies that will be foundational for the future success of SAP and of our customers. We are a diverse team and collaborate across roles functions and locations enabling every colleague to contribute and investigate new ideas. The team operates in a very agile manner while benefitting from the advantages of a large established company.

As part of the R&I team based out of Silicon Valley you will spearhead our efforts to research and prototype new AI offerings create strategic platform partnerships within the AI ecosystem and help position SAP as the AI thought leader for enterprise solutions. We closely work with Stanford and Berkeley as well as the startup ecosystem. We have partnered with leaders in the space such as Anthropic and NVIDIA.

About the Role:

• Deep understanding of AI/ML concepts with expert knowledge in Large Language Models Deep Learning Neural Networks NLP
• Beneficial will be a more holistic understanding of how AI technology can help make great products. Also interest in working cross-functionally across many disciplines and organizations will be of benefit.
• You will play a pivotal role within a dynamic team with a mission to embed cutting-edge AI technology to our offerings.
• Your primary responsibility will be to drive innovation conduct research on the latest AI advancements and implement those in prototypes. Work with product teams to bring prototypes to production.
• Present and communicate prototype results to stakeholders and executives.

Job Requirements:

• MSc or PhD in a quantitative field e.g. Computer Science NLP AI Machine Learning
• 7 years experience in the implementation and delivery of data science and AI projects involving large & complex data sets and data science/machine learning pipeline.
• 5 years of experience in Deep Learning Neural Networks Generative AI Knowledge graph NLP and relevant frameworks
• Experience in training and inference with models including GPT/LLaMA/BERT based models. Experience in RAG & agentic flows is a plus
• Expertise and Proven track record in AI/ML
• Strong in research paper scouting understand GenAI research trends able to implement research into code.
• Ability to clearly communicate complex issues to leadership and to customers
• Conceptual understanding of architectures and technical constraints to make sure designs scale and perform and have good maintenance.
• Experience with common analytics and data science frameworks: PyTorch NumPy sci-kit-learn pandas Keras TensorFlow etc
• Experience in collaborating with cross-functional teams to transfer ML/AI research outcomes into scalable services is a plus

We win with inclusion

SAPs 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 are made stronger by the unique capabilities and qualities that each person brings to our company and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application please send an e-mail with your request to Recruiting Operations Team:

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.

Qualified applicants will receive consideration for employment without regard to their age race religion national origin ethnicity gender (including pregnancy childbirth et al) sexual orientation gender identity or expression protected veteran status or disability in compliance with applicable federal state and local legal requirements.

Compensation Range Transparency: SAPbelieves the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAPs 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 192500- 420000(USD) actual amount to be offered to the successful candidatewill be within that range dependent upon the key aspects of each case which may include education skillsexperience scope ofthe role location etc. as determinedthrough theselection 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:SAP North America Benefits.

Requisition ID: 428154 Work Area:Software-Design and Development Expected Travel: 0 - 10% Career Status: Professional Employment Type: Regular Full Time Additional Locations:#LI-Hybrid