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Machine Learning Intern

Location Princeton, United States Job type Full-Time Work mode Hybrid Job level Internship & Working Student Job ID 11601 Company Munich Re America Services Employment type Temporary Area of expertise Information Technology
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Machine Learning Intern – Summer 2026

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.

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Your Benefits

With us, you get more than just an exciting job. Enjoy a wide range of employee benefits tailored to your wellbeing and development. Please note that regional differences may apply.

Competitive Salary

We provide fair and competitive compensation that reflects your performance and commitment.

Company performance-based Incentives

In addition to your salary, our variable compensation approach allows you to share in Munich Re's success.

Recognition and Special Rewards

We recognise outstanding individual contributions through a variety of targeted rewards and incentives.

Retirement Planning

We support your long-term financial wellbeing with retirement solutions aligned with local regulations.

Inclusive Workplace Culture

We foster a respectful, inclusive, and values-driven environment.

Learning & Development

We offer tailored learning opportunities with a strong focus on core skills and business-critical knowledge.

Work-Life-Balance

Supporting your ability to balance family, leisure, and your career.

Health & Wellbeing

We support your physical and mental health through a range of programs and activities in each location.

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