AI/ML Engineer
Company: Starr
Location: New York, NY
Salary: $135k - $175k per year
Type: Full-time
Level: Junior
Posted: 2026-02-25
About this role
*Starr Insurance Companies is a leading insurance and investment organization, providing commercial property and casualty insurance, including travel and accident coverage, to almost every imaginable business and industry in virtually every part of the world.
Cornelius Vander Starr established his first insurance company in Shanghai, China in 1919. Today, we are one of the world’s fastest growing insurance organizations, capable of writing in 128 countries on 6 continents.*
Join the Starr Enterprise Data and Artificial Intelligence Organization and start reimagining the future of insurance. The Data and AI team at Starr builds first-of-a-kind capabilities that advance the insurance practice and scale across the entire enterprise. The team’s ultimate mission is to develop cutting-edge data and AI capabilities that drive profit growth for Starr.
The AI/ML engineer is responsible for uncovering meaningful data patterns and transforming them into actionable insights by leveraging predictive modeling, data mining, and machine learning algorithms. This includes propensity and uplift modeling, classification models, forecasting, foundation models, and other methodologies. This individual will work alongside Senior AI/ML Engineers to develop scalable AI/ML solutions and provide data-driven and optimization insights across the enterprise. He/she will be passionate about learning and deploying leading technologies in the analytics space specific to the business needs to drive results and identify opportunities. As an AI/ML Engineer, this person will drive business impact by solving unique problems through advanced analytics, continuous improvement methodologies, and change management in a fast-paced environment.
Key Responsibilities:
- Work alongside Senior AI/ML Engineers to design, develop, and deploy AI/ML solutions with best practices in statistics, machine learning, deep learning, and foundational models to improve the profitability for Starr. Exam...