Senior Staff Machine Learning Engineer

GEICO

Confirmed live yesterday Trusted

Quick summary

Work type: On-site
Location: Palo Alto, CA
Salary: $150,000–$300,000 / yr
Posted: 135 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 As part of the AI organization, this role provides senior technical leadership in developing a virtual agent platform to enhance service quality and productivity for contact center employees across claims, service, and sales operations. You will collaborate with a dynamic team of engineers to design, develop, and deploy scalable GenAI workflows. Key responsibilities include architecting multi-component systems for knowledge management, search, prompt management, and workflow orchestration while managing the end-to-end software development lifecycle. The role requires proficiency in Java, C++, Python, or C#, along with experience in cloud platforms like Azure and AWS. You will work with technologies including Elastic Search, Qdrant, Snowflake, Kafka, PostgreSQL, MongoDB, Cassandra, Spark, Ray, Airflow, and Temporal. Additionally, you will utilize and fine-tune LLMs such as GPT, Llama, Mistral, and Claude to build advanced agentic workflows.

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 PostgreSQL MongoDB Cassandra Snowflake elastic search Qdrant

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 performance and scalability.
Develop multi-year product roadmaps and strategic plans for AI and platform products.
Lead engineering teams in implementing platforms while troubleshooting complex technical issues.
Mentor junior engineers and tech leads on best practices and emerging technology trends.
Collaborate with cross-functional teams to define project scopes and prioritize feature backlogs.

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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