Intern [h1.location_city]

Location : Hartford, San Francisco, or New York City

Job Description

The Insure AI team is part of the New and Green Technologies business unit in Munich Re's Global Specialty Insurance division. You would join an experienced international business unit structuring insurance and reinsurance solutions for risks of AI and Generative AI applications. As a Research Scientist Intern, your focus will be contributing to research on developing statistically robust quantification and assessment methodologies for AI and GenAI models. Please visit our website to find out more about the team : https : / / www.munichre.com / en / solutions / for-industry-clients / insure-ai.html . The location of the position is flexible, with options being San Francisco, New York, or Hartford, CT.

Your Job

Conduct independent research on statistical and methodological approaches for assessing risks associated with AI and GenAI models.

Drive research projects with creativity and scientific rigor-design experiments, generate hypotheses, and proactively explore new analytical directions.

Develop and test uncertaintyquantification methods, including conformal prediction, calibration techniques, predictive intervals, and other approaches relevant for AI risk assessment.

Support the development of novel frameworks for estimating model risks, detecting performance drift, identifying discrimination and algorithmic harms, and characterizing AI model failure modes.

Contribute to research papers with the team, summarizing key findings and conducting literature reviews for academic publication.

Present research results to both technical and nontechnical stakeholders within Munich Re, as well as at academic conferences.

Your Profile

Currently pursuing a PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, Engineering, or a related quantitative field.

Demonstrated ability to independently drive research projects with creativity, curiosity, and scientific rigor.

Strong foundation in statistical modeling, machine learning theory, and experimental design.

Experience with uncertaintyquantification methods such as conformal prediction, model calibration, or related statistical techniques.

Familiarity with AI / GenAI model evaluation including robustness testing, performancedrift detection, fairness and discrimination assessment, and other risk analysis.

Proficiency in Python and commonly used machine learning frameworks (e.g., PyTorch, TensorFlow, NumPy, Scikitlearn).

Ability to synthesize research findings, conduct literature reviews, and contribute to academicstyle writing.

Strong communication skills, with the ability to present complex ideas clearly to both technical and nontechnical audiences.

At The Hartford Steam Boiler, a subsidiary of Munich Re, we see Diversity 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.

We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. The work environment characteristics, and any physical and mental requirements described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities and activities may change or be assigned at any time with or without notice.

The Company is open to considering candidates in numerous locations, including California. The hourly ranged posted below applies to the Company's Hartford, CT location.

• The hourly range for this position is $41.00-$49.00.
• The hourly estimate displayed represents the typical hourly range of candidates hired. Factors that may be used to determine your actual hourly rate may include your specific skills, how many years of experience you have and comparison to other employees already in this role. Most candidates will start in the bottom half of the range.

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