Senior Machine Learning Engineer - Research & Innovation at SAP
Palo Alto, CA 94304, USA -
Full Time


Start Date

Immediate

Expiry Date

26 Jul, 25

Salary

294700.0

Posted On

26 Apr, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Code, Computer Science, Models, Data Science, Training, Nlp, Neural Networks, Numpy, Machine Learning, Deep Learning, Research

Industry

Information Technology/IT

Description

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

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.
Responsibilities
  • 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.
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