Machine Learning Intern

Munich Re America Services (MRAS) is a shared service organization that delivers services to all Munich Re US P&C Companies and other group entities.

The Opportunity

Future focused and always one step ahead

In this position, the intern will gain practical experience in agentic AI, data ingestion, framework development, and Databricks exposure, while enhancing technical and problem solving skills. The intern will learn how to architect and deploy agentic AI frameworks, collaborate in a cross-functional team, and drive innovation in an enterprise setting.

Responsibilities

• Lead the design and development of a POC agentic AI system
• Architect and implement frameworks for automated document processing (SDD, Race checklist etc.)
• Implement data ingestion for diverse file types
• Parse and extract information from various formats
• Integrate agentic LLMs, prompt management systems, and Databricks Agent Bricks into a unified solution

Qualifications

• Grade Level: PHD student
• Preferred Major: Computer Science, Data Science, Information Systems
• Advanced knowledge of generative AI, agentic systems, and LLMs
• Strong research background in AI/ML, with hands-on experience in POC development
• Expertise in data engineering, document parsing, and multimodal data processing
• Proficiency with Databricks, Agent Bricks, and cloud-based AI platforms
• Ability to translate research into scalable, practical solutions that will move into production 
• Computer Skills: Python, PySpark, Databricks, Langchain, LlamaIndex, AutoGen, Cloud Platforms (Azure, AWS), experience with document parsing tools/libraries
• Other: Analytical thinking, problem-solving, teamwork, communication, technical writing, research methodology, presentation skills

This role will be based in Princeton, New Jersey The base range for this internship will be $25.00 - $45.00 per hour. The hourly estimate displayed represents the typical salary range for candidates hired in this position in Princeton, NJ. Factors that may be used to determine your actual rate will include your specific skills, how many years of experience and education you have in comparison to other employees already in this role.
  
At Munich Re US, we see Diversity, Equity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services.   

We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.