Senior Staff ML Engineer

GEICO

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Palo Alto, CA
Salary
$150,000–$300,000 / yr
Posted
45 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $229k
This role $225k
$132k most similar roles pay here $318k

This role pays less than 62% of similar roles. Most pay $202,800–$254,750 — the shaded band above. At the midpoint, this role pays about $225k versus about $229k 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 68 open roles on FindRole.

Listed pay typically runs $112,500–$230,000 across 68 roles with salary data.

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View all roles at GEICO

At a glance

TL;DR · Senior Staff ML Engineer

As a Senior Staff ML Engineer, you will serve as a technical leader within a dynamic team of AI and software engineers to design, develop, and deploy scalable generative AI solutions. You will be responsible for the end-to-end lifecycle of high-performance systems including agentic workflows, conversational AI, knowledge assistants, and automated processes. The role involves collaborating with cross-functional teams to define technical roadmaps, mentoring junior engineers through code reviews, and selecting appropriate software tools and frameworks. Key technologies include Python, Java, and cloud environments like Azure or AWS. You will utilize specialized tools such as LangSmith, LangGraph, RAG pipelines, and prompt engineering to build multi-agent applications. This role specifically addresses the challenge of implementing LLM-based capabilities and agentic communication standards to solve complex problems within the insurance domain.

What you'll do

  • Design, develop, and maintain high-performance AI solutions using agentic workflows and LLMs to deliver business value.
  • Build and integrate conversational AI, knowledge assistants, and automated process tools into the company's platform architecture.
  • Establish technical visions and roadmaps that balance product requirements with engineering excellence and delivery timelines.
  • Lead the selection and implementation of software technologies while balancing build versus buy decisions.
  • Partner with platform teams to communicate requirements and contribute to the development of internal AI infrastructure.
  • Mentor junior engineers through code reviews, design sessions, and the enforcement of technical best practices.
  • Manage project planning and stakeholder communication to ensure timely delivery of cross-functional solutions.

What we're looking for

  • Bachelor’s degree or above in Computer Science, Engineering, Statistics, or a related field.
  • 8+ years of experience designing and building scalable production AI/ML applications and systems in cloud environments.
  • 5+ years of experience owning the end-to-end development, monitoring, maintenance, and improvement of scalable AI/ML applications.
  • 5+ years of experience with training, finetuning, real-time/batch inferencing, and evaluation systems for AI/ML models and LLMs in production.
  • 5+ years of experience managing the end-to-end software development life cycle for Generative AI applications, backend systems, and APIs.
  • Proficiency in Python, Java, or similar general-purpose programming languages.
  • Experience using frameworks like LangSmith or LangGraph to build LLM-based agentic workflows.
  • Experience using agentic communication standards such as A2A and MCP to design multi-agent applications.

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