Director, Machine Learning Engineering

Director, Machine Learning Engineering Skip to main content

GEICO uses cookies to help us provide the best experience on GEICO Careers.  By continuing to use our website, you consent to the use of cookies.  For more information, please visit our cookie policy.#Director, Machine Learning Engineering page is loaded## Director, Machine Learning Engineering Apply locations:
Palo Alto, CA:
New York City, NY:
Dallas, TX:
Bethesda, MD:
Seattle, WAtime type:
Full time posted on:
Posted Todayjob requisition :
R0064346
** 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.
** Director – Runtime Intelligence & Personalization
**** Overview
* * We are seeking a strategic and execution-oriented Director to lead our Runtime Intelligence & Personalization function. This leader will own the vision, strategy, and delivery of intelligent runtime systems that power context-aware, personalized experiences across products and platforms.

This role sits at the intersection of AI/ML, platform engineering, and product strategy, responsible for building scalable systems that leverage context, memory, and retrieval to deliver differentiated, real-time intelligence.
** Key Responsibilities
**** Strategy & Vision
*** Define and execute the roadmap for runtime intelligence capabilities, including context building, memory systems, and RAG-based architectures
* Translate business and customer needs into scalable, AI-powered personalization strategies
* Partner with executive stakeholders to align runtime intelligence investments with enterprise priorities
* Act as a thought leader in shaping next-generation personalization and AI-driven experiences
** Platform & Capability Ownership
*** Lead development of core runtime capabilities:
* Context orchestration and state management
* Memory systems (short-term and long-term)
* Retrieval systems (RAG, knowledge integration)
* Personalization frameworks
* Drive design and implementation of high-scale, low-latency systems
* Ensure systems are secure, observable, and reliable in production environments
** Observability & Optimization
*** Establish observability standards across runtime intelligence systems (latency, quality, accuracy, cost)
* Define KPIs and metrics to evaluate system performance and business impact
* Lead continuous optimization of runtime performance, cost, and response quality
* Implement feedback loops for model and system improvement
** Execution & Delivery
*** Oversee end-to-end delivery of runtime intelligence platforms, ensuring scalability and reliability
* Drive cross-functional execution across engineering, data science, and product teams
* Manage prioritization, trade-offs, and execution in a complex, fast-paced environment
** Leadership & Team Development
*** Build, lead, and scale high-performing teams across engineering, ML, and platform functions
* Develop talent strategy, including hiring, coaching, and organizational design
* Foster a culture of innovation, accountability, and continuous improvement
* Lead through senior managers and technical leaders to deliver outcomes at scale
** Cross-Functional Collaboration
*** Partner with Product, Design, Data, and Infrastructure teams to deliver integrated solutions
* Influence senior stakeholders and drive alignment across competing priorities
* Communicate complex technical concepts clearly to executive and non-technical audiences
** Qualifications
* *** Required
* ** 10–15+ years of experience in engineering, platform, or AI/ML roles, with significant leadership experience
* Proven track record building and…