AI Applied Research & Machine Learning Internship; PhD); Summer Interns

GEICO AI Development Summer Internship

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 multi-dimensional interviews as part of the internship selection process.

How You'll Make a Difference

• Applied Research & Business Challenges:
  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.
• Technology Business Initiatives:
  Contribute to significant technology business initiatives, participate in meetings, and present your research and project outcomes to senior management.
• Mentorship & Development:
  Receive mentoring and coaching from members of GEICO's Technology Solutions management, supporting your development as a leader in applied AI research.
• AI-Driven Insurance Solutions:
  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.
• Research, Technical & Communication
  
  Skills:
  
  Strengthen your research, technical, project management, and communication skills in a dynamic, business-focused environment.

What We're Looking For

Experience &

Qualifications:

• 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.

Core

Skills:

• 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.

Preferred

Skills:

• Well-rounded experience with diverse technologies and research projects outside the classroom, demonstrating strong engineering and applied research abilities.
• Previous professional software development internship or research…