About The Position

GEICO is on a multi-year journey to transform the insurance industry with Artificial Intelligence. The AI Modeling and Research team is part of the AI Org, which is Geico’s strategic investment with the mission to transform Geico into an AI-first company. AI Org is led by Vice President, Head of AI. AI Org is in the Technology, Product and AI (TPA) org at Geico. TPA is led by the Chief Technology, Product and AI Officer, who reports to the CEO of Geico. We are looking for an experienced manager of MLE who has deep insights into ML modeling for building decision intelligence and recommendation engines. The candidate should build close partnerships with product, engineering and operation leadership across the company. This role will report directly to the Senior Director of AI Modeling and Research.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or AI/ML. Advanced degree in AI/ML is a plus.
  • 4 + years of hands-on experience in AI/ML in a production environment.
  • 3 + years hands-on expertise in AI/ML for decision intelligence.
  • 2 + years of experience in Software Engineering Management.
  • Successful leadership experience in managing and scaling engineering teams of size >= 7.
  • Strong communication and collaboration skills across technical and non-technical teams.
  • 3 + years experiences in building cross-functional partnerships with product and business.

Responsibilities

  • Lead the strategy, design, and delivery of decision intelligence and recommendation model systems for the whole company, enabling smart decisions based on user profiles for Geico’s businesses.
  • Partner with cross-functional stakeholders to define technical roadmaps aligned with business goals.
  • Architect scalable and reliable model ecosystems for all types of decision intelligence use cases.
  • Establish and drive best practices in ML modeling, data organization, model management, and observability.
  • Mentor, hire, and grow a high-performing team of engineers focused on ML modeling.
  • Ensure compliance with data privacy and security standards.
  • Continuously improving system performance, scalability, and user experience.

Benefits

  • Competitive pay
  • Benefits
  • Flexibility to support your well-being and future
  • Personalized development programs
  • Mentorship
  • Certification assistance
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