Staff Machine Learning Engineer

GEICO

Remote

Quick summary

Work type: Remote
Location: Palo Alto, CA
Salary: $130,000–$260,000 / yr
Posted: 1 day ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $223k

This role $195k

$114k most similar roles pay here $282k

This role pays less than 72% of similar roles. Most pay $188,089–$257,275 — the shaded band above. At the midpoint, this role pays about $195k versus about $223k 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.

Most-posted roles

View all roles at GEICO

At a glance

TL;DR · Staff Machine Learning Engineer

Apply Now Log in to save

GEICO is hiring a Senior Staff ML Engineer to lead the development of generative AI applications within a dynamic team of AI and software engineers. This role involves designing, developing, and deploying scalable systems that integrate LLMs and agentic workflows to deliver business value through customer-facing applications and internal tools. The candidate will collaborate with cross-functional teams to define project scope, prioritize feature development, and establish technical roadmaps while ensuring architectural excellence. Key responsibilities include integrating GEICO’s AI platform architecture, mentoring junior engineers, and driving the selection of software technologies and frameworks. Ideal candidates have extensive experience in cloud environments, particularly with Azure or AWS, and proficiency in Python or Java for building LLM-based agentic workflows using tools like LangSmith/LangGraph and A2A/MCP standards.

Skills

Python Java AWS Azure Kubernetes CI/CD LangSmith LangGraph A2A MCP RAG Prometheus Grafana Docker PostgreSQL Redis Git Jenkins

What you'll do

Own end-to-end design and development of high-performance AI solutions using agentic workflows.
Drive technical alignment and efficient resource allocation for timely delivery of AI projects.
Mentor junior engineers through code reviews and establish best practices in a collaborative environment.
Integrate and build solutions on GEICO’s AI platform architecture, contributing to feature roadmaps.
Select, evaluate, and implement software technologies and frameworks for AI applications.

What we're looking for

8+ years of experience designing and building scalable AI/ML applications in cloud environments.
5+ years owning end-to-end development and maintenance of robust AI/ML applications.
Proficient in Python, Java or similar languages for developing AI/ML systems.
Experience with training, finetuning, and real-time inferencing of AI/ML models and LLMs.
Expertise in managing the software development life cycle for Generative AI applications.
Bachelor’s degree or higher in Computer Science, Engineering, Statistics or related field.
Extensive experience using cloud provider solutions like Azure and AWS for AI/ML products.

Save