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.
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 a highly experienced Distinguished Engineer who has deep insights into ML modeling for build customer intelligence and recommendation engine. The candidate can lead major technical decisions on how the company can build cutting-edge products powered by industry leading recommendation technologies. 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 recommendation systems for major customer journeys, enabling smart recommendation capabilities 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 recommendation use cases for major customer journeys.
- Establish and drive best practices in ML modeling, data organization, model management, and observability.
- Help the leadership team mentor and grow a high-performing team of engineers focused on ML modeling for recommendation.
- Ensure compliance with data privacy and security standards.
- Continuously improving system performance, scalability, and user experience.
- Provide state-of-the-art consultation to the Head of AI and Chief AI Officer regarding recommendation technologies.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or AI/ML. Advanced degree in Information Retrieval is a plus.
- 15+ years of hands-on experience in AI/ML in a production environment.
- 10+ years hands-on expertise in AI/ML for Recommendation.
- Successful leadership experience in leading the technical decisions for teams of size >= 15.
- Strong communication and collaboration skills across technical and non-technical teams.
- 5+ years experiences in building cross-functional partnerships with product and business.
Annual Salary
$150,000.00 - $300,000.00The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.
The GEICO Pledge:
Great Company: Protecting customers through life’s twists and turns with innovation and integrity.
Great Careers: Personalized development programs, mentorship, and certification assistance.
Great Culture: Inclusive and collaborative culture rooted in shared success.
Great Rewards: Competitive pay, benefits, and flexibility to support your well-being and future.
The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.
Skills Required
- Bachelor's or Master's degree in Computer Science, Engineering, or AI/ML
- 4+ years hands-on experience in AI/ML in a production environment
- 3+ years hands-on expertise in AI/ML for decision intelligence
- 2+ years of Software Engineering Management experience
- Leadership experience managing and scaling engineering teams of size >= 7
- Strong communication and collaboration skills across technical and non-technical teams
- 3+ years experience building cross-functional partnerships with product and business
GEICO Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about GEICO and has not been reviewed or approved by GEICO.
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Healthcare Strength — Healthcare coverage is described as comprehensive, spanning medical, prescription, behavioral health, dental (including orthodontia), and vision options with multiple plan types. Wellness resources, HSAs/FSAs, and related programs add breadth to the core health offering.
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Retirement Support — Retirement support includes a 401(k) with an employer match, and the match level is still characterized as good even after adjustments. Access to a credit union and financial education tools further strengthens the overall retirement/financial support picture.
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Flexible Benefits — Work-life programs provide flexibility through hybrid scheduling and limited remote-work options, alongside a broad menu of ancillary benefits such as commuter pre-tax programs, employee discounts, and charitable gift matching. Education support via tuition assistance and scholarships adds additional optionality for different needs.
GEICO Insights
What We Do
We know you know GEICO, but we want you to know that with us, you’ll find a rewarding career no matter which path you take. Our over 40,000 associates have been unexpectedly delighted to find that their jobs have turned into illuminating careers. You know us for insurance. Get to know us for great careers, too.
