Distinguished Machine Learning Engineer

GEICO

Quick summary

Work type
On-site
Location
Palo Alto, CA · New York City, NY · Bethesda, MD · Seattle, WA
Salary
$210,000–$350,000 / yr
Posted
1 day ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $219k
This role $280k
$150k most similar roles pay here $371k

This role pays more than 83% of similar roles. Most pay $178,012–$259,212 — the shaded band above. At the midpoint, this role pays about $280k versus about $219k 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 130 open roles on FindRole.

Listed pay typically runs $110,000–$230,000 across 130 roles with salary data.

Most-posted roles

View all roles at GEICO

At a glance

TL;DR · Distinguished Machine Learning Engineer

GEICO is hiring a Distinguished Engineer (AI Platforms) to lead the architecture and technical strategy of its Generative AI and virtual agent platforms, supporting over 20,000 contact center employees across claims, service, and sales. This role involves defining foundational capabilities for large-scale production-grade GenAI systems, collaborating with senior stakeholders to ensure durable and scalable solutions, and driving multi-year technical roadmaps that balance business needs and future growth. The ideal candidate has extensive experience in designing complex AI/ML platforms at scale, using technologies like Elasticsearch, Snowflake, Kafka, LangChain, and OpenTelemetry, and possesses a strong background in full software development lifecycle management and cloud platform expertise.

What you'll do

  • Define and evolve the foundational architecture for GEICO’s Generative AI platforms.
  • Serve as a final technical authority on complex architectural decisions impacting multiple products and teams.
  • Establish multi-year technical strategy and roadmaps for AI platform capabilities and GenAI applications.
  • Lead evaluation and selection of core technologies for building and scaling Generative AI applications.
  • Mentor senior engineers, setting high standards for architectural thinking and engineering quality.
  • Drive alignment across teams by translating complex technical concepts into clear guidance frameworks.

What we're looking for

  • Extensive experience architecting multi-component AI/ML platforms.
  • Deep hands-on expertise in building large-scale distributed systems.
  • Proven track record of designing complex AI/ML platforms at scale.
  • Strong background in full software development lifecycle ownership.
  • Demonstrated hands-on experience with Generative AI technologies in production.
  • Expertise in major cloud platforms like AWS and Azure.
  • Leadership in technical decision-making and mentorship for senior engineers.

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