Senior Engineer - Generate AI

We help the world run better

Our company culture is focused on helping our employees enable innovation by building breakthroughs together. 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. Apply now!

 

About the team:

The mission of the SAP Innovation Center Network (ICN) 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, global team and collaborate across roles, functions, and locations, enabling every colleague to contribute and investigate new ideas. 
As part of ICN the Business Technology Platform (BTP) AI Center of Excellence (CoE) team based out of Silicon Valley, you will spearhead our efforts to research and prototype new AI BTP 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: 

 

• We are looking for a ML/Data Scientist who loves building new products in an iterative and fast-moving environment. At the BTP AI CoE team you will: 
• Develop and support innovative, scalable and high performing technical solutions using emerging and state-of-the-art AI technologies. 
• Continuously research emerging trends in AI/ML and apply these to business problems in an SAP BTP context.  
• Develop and test analyses to explore enterprise data from various sources, identify robust patterns, automate the extraction of relevant insights with a focus on production suitability
• Experiment with different ML algorithms or techniques such as Knowledge Graph to derive possible solution for given problem. This may also include feature engineering, model building, model persistence, and visualizations.      
• Improve and advance the data science lifecycle of our products. This includes data extraction, data cleaning, data explorations, feature engineering, model building, model persistence, and visualizations, with a focus on development and data pipeline aspects  
• Work together with product management, designers, developers, data analysts and other data scientists to ensure product success 

 

Job Requirements: 

 

• MSc or PhD in a quantitative field, e.g., Computer Science, NLP, AI, Machine Learning  
• 5+ years of experience in the delivery and management of data science and AI projects involving large & complex data sets and data science/machine learning pipeline.
• 3+ years of experience in Deep Learning, Q&A, Knowledge graph and text analysis; Proficient in NLP and Deep learning algorithms and frameworks.
• Experience in models including GPT/BERT/DeBerta/GLM/LLaMA, experience in federated Foundation model training is a plus.
• Strong in research paper scouting, understand GenAI research trends, able to implement research into code.
• Good understanding of and intuition for statistical concepts, including hypothesis testing, statistical distributions, time series  
• Experience with common analytics and data science frameworks: NumPy, sci-kit-learn, pandas, Keras, TensorFlow, ...  
• Start-up experience or background is a plus.

 

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We build breakthroughs together

 

SAP innovations help more than 400,000 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. As a cloud company with 200 million users and more than 100,000 employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, we build breakthroughs, together.

We win with inclusion

SAP’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. 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 belie