Distinguished Engineer, AI Applications

GEICO

Confirmed live yesterday High trust

Remote

Quick summary

Work type: Remote
Location: Palo Alto, CA
Salary: $210,000–$350,000 / yr
Posted: 9 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $223k

This role $280k

$128k most similar roles pay here $374k

This role pays more than 74% of similar roles. Most pay $161,500–$285,000 — the shaded band above. At the midpoint, this role pays about $280k 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 68 open roles on FindRole.

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

Most-posted roles

View all roles at GEICO

At a glance

TL;DR · Distinguished Engineer, AI Applications

Role Posting Log in to save

As a Distinguished Engineer, AI Applications, you will serve as a senior technical leader responsible for informing strategic machine learning initiatives and overseeing the entire lifecycle of models. You will architect scalable systems, lead cross-functional teams, and integrate cutting-edge techniques into existing workflows while ensuring models are stable, interpretable, and compliant with industry standards. Your daily work involves developing frameworks for fairness and explainability, designing monitoring and retraining pipelines, and evangelizing best practices across the organization. The role requires extensive expertise in Python, Java, and data orchestration tools like DBT or Airflow. You will utilize big-data technologies including Spark, MongoDB, ElasticSearch, Snowflake, and Neo4j within cloud environments such as AWS SageMaker, Azure ML, and AWS Bedrock to solve complex problems regarding model governance and real-time machine learning serving systems.

What does a Engineer earn in California?

Median $208000 from 94 postings across 22 companies.

See salary data

Skills

Machine Learning Python Java AWS Azure SageMaker Azure ML AWS Bedrock Spark MongoDB ElasticSearch Snowflake Neo4j Airflow DBT Data Pipelines Model Monitoring

What you'll do

Inform the company’s strategic machine learning initiatives and align them with business objectives.
Architect scalable, efficient, and robust machine learning systems for key company initiatives.
Integrate cutting-edge machine learning techniques into existing workflows to drive innovation.
Develop frameworks for model interpretability, fairness, and explainability to ensure regulatory compliance.
Design systems for monitoring, maintaining, and retraining machine learning models in production.
Establish model governance structures and alerting mechanisms for production environments.
Evangelize best practices across AI/ML to foster a culture of craftsmanship and innovation.

What we're looking for

Bachelor's degree in Machine Learning, Computer Science, Statistics, Mathematics, or a related field.
10+ years of experience in the design and implementation of machine learning systems.
10+ years of proficiency in Python, Java, or similar programming languages.
10+ years of experience with data orchestration workflow tools such as DBT or Airflow.
8+ years of experience with big-data technologies including Spark, MongoDB, ElasticSearch, Snowflake, and Neo4j.
Extensive experience with cloud providers like AWS and Azure, specifically focusing on machine learning services.
Experience in data governance, security, and regulatory compliance for AI systems, including fairness and ethics.
Proven ability to lead cross-functional teams and mentor others in delivering high-impact projects.

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