Director, Machine Learning Engineering

GEICO

Quick summary

Work type
On-site
Location
Palo Alto, CA · New York City, NY · Dallas, TX · Bethesda, MD · Seattle, WA
Salary
$150,000–$300,000 / yr
Posted
1 day ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $228k
This role $225k
$132k most similar roles pay here $318k

This role pays more than 52% of similar roles. Most pay $196,750–$259,212 — the shaded band above. At the midpoint, this role pays about $225k versus about $228k for comparable roles.

Based on 240 similar postings.

Employer

About GEICO

GEICO (Government Employees Insurance Company) is one of the largest auto insurers in the United States, offering affordable auto, home, renters, and other personal insurance products. Industry: Insurance

GEICO currently has 136 open roles on FindRole.

Listed pay typically runs $110,000–$230,000 across 136 roles with salary data.

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View all roles at GEICO

At a glance

TL;DR · Director, Machine Learning Engineering

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As a Director of Runtime Intelligence & Personalization at GEICO, you will lead the development and execution of AI-driven systems that deliver personalized experiences across various platforms. This strategic role involves crafting scalable context-aware frameworks, memory systems, and retrieval architectures to enhance real-time intelligence. You will oversee high-performing teams in engineering, ML, and platform functions, ensuring secure and reliable production environments while fostering innovation and accountability. Key responsibilities include defining the roadmap for runtime capabilities, driving cross-functional collaboration with data science and product teams, and establishing observability standards to optimize system performance. Ideal candidates have 10-15 years of experience in AI/ML or engineering roles, expertise in RAG, context architectures, and real-time inference systems, and a track record of leading complex initiatives in high-scale environments.

Skills

AI/ML Kubernetes Docker CI/CD Python Java PostgreSQL Redis RAG LLMs Observability Prometheus Grafana AWS Azure Git Scrum Agile

What you'll do

  • Define and execute the roadmap for runtime intelligence capabilities.
  • Lead development of core runtime capabilities like context orchestration and memory systems.
  • Establish observability standards and define KPIs to evaluate system performance.
  • Oversee end-to-end delivery of scalable, reliable runtime intelligence platforms.
  • Build and lead high-performing teams across engineering, ML, and platform functions.

What we're looking for

  • 10+ years of experience in engineering, platform, or AI/ML roles with significant leadership.
  • Proven track record building and scaling distributed systems, AI platforms, or personalization systems.
  • Deep expertise in retrieval-augmented generation (RAG), context and memory architectures, real-time inference.
  • Strong business acumen translating strategy into execution for large initiatives.
  • Experience leading cross-functional teams and influencing senior stakeholders.
  • Demonstrated success in high-scale, customer-facing environments.

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