Director, Machine Learning Engineering

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.

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

Requirements

Qualifications

Required

• 10–15+ years of experience in engineering, platform, or AI/ML roles, with significant leadership experience
• Proven track record building and scaling distributed systems, AI platforms, or personalization systems
• Deep expertise in areas such as: Retrieval-Augmented Generation (RAG), Context and memory architectures, Real-time inference systems
• Strong business acumen with the ability to translate strategy into execution
• Demonstrated success leading large, complex, cross-functional initiatives

Preferred

• Experience with LLMs, generative AI, and agent-based systems
• Background in observability, experimentation frameworks, or system optimization
• Experience operating in high-scale, customer-facing environments

Core Competencies

• Strategic Thinking & Vision
• AI/ML & Platform Leadership
• Operational Excellence & Execution
• Cross-Functional Influence
• Talent Development & Leadership
• Data-Driven Decision Making

Pay

Annual Salary: $150,000.00 - $300,000.00

The 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.

Benefits

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.

At this time, GEICO will not sponsor a new applicant for employment authorization for this position.