Distinguished Machine Learning Engineer, Customer Intelligence and Recommendation
GEICOAbout 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.
Title: Manager of Machine Learning Engineer, Decision Intelligence
Overview:
GEICO is on a multi-year journey to transform the insurance industry with
Artificial Intelligence.
The Team: 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.
The Role Purpose: We are looking for an experienced manager of MLE who has deep insights into ML modeling for build decision intelligence and recommendation engine. 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.
Responsibilities:
To be successful in this role, you will need:
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.
Qualifications:
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 i
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