AI Applied Research & Machine Learning Internship (PhD)

GEICOPalo Alto, CA
1d$32 - $50Hybrid

About The Position

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 through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose. 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. AI Applied Research & Machine Learning Internship GEICO's summer internship will run from June 8, 2026, through August 14, 2026. 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. During your paid 10-week summer internship as a PhD candidate specializing in AI applied research and machine learning, you will:

Requirements

  • Currently pursuing a PhD in Computer Science, Computer Engineering, Data Science, Machine Learning, Applied Mathematics, Statistics, or a closely related engineering discipline, having completed at least two years of the PhD program.
  • Demonstrated research experience evidenced by peer-reviewed publications, conference presentations, or significant contributions to research projects in artificial intelligence, machine learning, or related fields .
  • Strong foundation in algorithms, data structures, and core computer science concepts, with application to advanced AI research.
  • Deep understanding of advanced ML, GenAI, LLMs, and AI Agent foundations, and how these technologies can be applied to deliver business value.
  • Advanced analytical, problem-solving, programming, and written and verbal English communication skills, tailored for collaborative research and business impact.
  • Demonstrated experience in applying programming tools to develop and prototype AI Solutions that address real-world business problems.
  • Ability to produce high-quality, reusable, and robust code that supports scalable AI solutions for business transformation.
  • Knowledge of developer tooling throughout the software development lifecycle—including task management, source code control, build and deployment automation, operations, and real-time team collaboration.
  • Understanding of Monitoring Tools and Site Reliability Engineering (SRE) principles, especially as they relate to deploying and maintaining AI solutions.
  • Well-rounded experience with diverse technologies and research projects outside the classroom, demonstrating strong engineering and applied research abilities.

Nice To Haves

  • Previous professional software development internship or research experience preferred.

Responsibilities

  • Leverage your advanced research and technology expertise through both individual assignments and collaborative team projects focused on solving real business challenges and delivering measurable value.
  • Contribute to significant technology business initiatives, participate in meetings, and present your research and project outcomes to senior management.
  • Receive mentoring and coaching from members of GEICO's Technology Solutions management, supporting your development as a leader in applied AI research.
  • Engage with associates across all levels of our technology organization—including direct interaction with our CTO—to help shape the future of AI-driven insurance solutions.
  • Strengthen your research, technical, project management, and communication skills in a dynamic, business-focused environment.
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