SAP Senior Machine Learning Engineer - Research & Innovation 

United States, Pennsylvania, Newtown Township 

829035627

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 positioning SAP as the leading AI thought leader for enterprise solutions.

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
• 5+ 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.

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San Jose
Palo Alto