Director, Machine Learning Engineering

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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 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

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.

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

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.