Senior Staff Machine Learning Engineer

GEICO

Confirmed live yesterday Trusted

Quick summary

Work type: On-site
Location: Palo Alto, CASeattle, WA
Salary: $150,000–$300,000 / yr
Posted: 98 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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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 59% of similar roles. Most pay $197,981–$259,212 — 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 Machine Learning Engineer

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Senior Staff Machine Learning Engineer The Senior Staff Machine Learning Engineer joins the AI organization to provide technical leadership in developing a virtual agent platform designed to improve service quality and productivity for contact center employees. This individual will architect and develop interconnected, high-performance components including knowledge management, search, prompt management, workflow orchestration, and semantic knowledge graphs to power end-to-end GenAI agentic workflows. The role involves making critical technical decisions regarding software tools, managing multi-year product roadmaps, and mentoring engineers on best practices. Candidates must possess expertise in Java, C++, Python, or C#, along with experience in search engines like Qdrant, data warehouses like Snowflake, streaming platforms like Kafka, and distributed processing via Spark or Ray. Proficiency with LLMs such as GPT, Llama, Mistral, and Claude is required to build conversational experiences within the insurance service domain.

What does a Machine Learning Engineer earn in California?

Median $246394 from 172 postings across 28 companies.

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Skills

Generative AI LLMs Python Java C++ C# AWS Azure Kubernetes CICD Kafka Spark Ray Airflow Temporal elastic search Qdrant Snowflake PostgreSQL MongoDB Cassandra

What you'll do

Design and architect scalable platform components to power end-to-end GenAI agentic workflows.
Evaluate and select software technologies, tools, and frameworks based on build vs. buy analysis.
Develop multi-year product roadmaps and strategic plans for AI and software platforms.
Lead teams of engineers in implementing technical solutions and resolving complex system issues.
Mentor junior tech leads and engineers on best practices and emerging AI trends.
Establish technical visions that balance business outcomes with engineering excellence and project timelines.

What we're looking for

Bachelor’s degree or above in Computer Science, Engineering, Statistics, or a related field.
10+ years of professional software development experience with at least two general-purpose programming languages like Java, C++, Python, or C#.
10+ years of experience architecting and building multi-component AI/ML platforms using open-source or cloud-agnostic components.
6+ years of experience managing the end-to-end software development life cycle including CI/CD, Kubernetes, and production support.
6+ years of experience working with cloud providers such as Azure and AWS.
3+ years of experience utilizing or fine-tuning LLMs to build conversational experiences and agentic workflows.

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