AI Applied Research & Machine Learning Internship (PhD) (Summer 2026 Interns Only)

GEICO
Palo Alto, California, United StatesPosted Sep 1, 2026
Data Science / MLSummer 2026

About the role

Why Join GEICO? At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide. Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. When you join our company, we want you to feel valued, supported, and proud to work here. That's why we offer the GEICO Pledge: Great Company, Great Culture, Great Rewards, and Great Careers. Your Impact at GEICO GEICO's AI team is seeking high-performing, creative PhD candidates specializing in AI research and machine learning engineering to join our AI development summer internship. You will help drive our insurance business transformation as we redefine the customer experience. Find real opportunities to apply your advanced research and technical skills in artificial intelligence and machine learning, and potentially secure a full-time engineering or research role upon graduation! GEICO's Tech teams have positioned our company as a mobile, internet, and customer experience leader, proving that we are more than just an insurance company. We're a cutting-edge technology company, and we're growing and transforming all the time. Come be a part of this journey and help us build technology to disrupt the insurance industry, building experiences that will impact hundreds of millions of users! Geico AI is developing advanced GenAI solutions and focusing on building AI applications that will transform the insurance industry. GEICO's summer internship will run from June 7, 2027, through August 13, 2027. Interns will work in a hybrid format (2-3 days per week in the office) at designated locations. Candidates will participate in a technical skills assessment and mult

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