Senior Machine Learning Engineer

GEICO

Closes in 2 days Remote

Quick summary

Work type
Remote
Location
New York, NY
Salary
$115,000–$230,000 / yr
Posted
3 days ago
Closes
Jun 8, 2026 (soon)

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $211k
This role $172k
$98k most similar roles pay here $275k

This role pays less than 81% of similar roles. Most pay $175,750–$246,150 — the shaded band above. At the midpoint, this role pays about $172k versus about $211k for comparable roles.

Based on 239 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 71 open roles on FindRole.

Listed pay typically runs $110,000–$230,000 across 71 roles with salary data.

Most-posted roles

View all roles at GEICO

At a glance

TL;DR · Senior Machine Learning Engineer

As a Senior Machine Learning Engineer at GEICO’s AI Research team, you will lead the design and deployment of production-grade ML systems that enhance claims processing, customer interactions, and operational efficiency. Your daily tasks include managing the full ML lifecycle from data ingestion to model retraining, developing scalable batch and real-time pipelines, and optimizing serving systems for performance and cost-effectiveness. You will also contribute to shared frameworks, mentor junior engineers, and ensure compliance with regulatory standards in a high-stakes environment. The role requires expertise in Python or Java, proficiency with ML frameworks like PyTorch and TensorFlow, and experience with large language models and distributed data systems. Ideal candidates have a background in AI research, predictive modeling, and advanced techniques such as deep learning and natural language processing, aiming to drive technical excellence and innovation within the team.

What you'll do

  • Design, implement, and deploy machine learning models for diverse AI applications.
  • Manage the full ML lifecycle from data ingestion to deployment and monitoring.
  • Develop scalable batch and real-time pipelines for high-throughput AI workflows.
  • Optimize ML serving systems for speed, reliability, and cost-effectiveness.
  • Mentor junior engineers and provide technical leadership in code reviews.

What we're looking for

  • 6+ years of experience building and deploying machine learning systems in production.
  • Strong proficiency in Python (and/or Java) with production-grade software engineering practices.
  • Experience with ML frameworks like PyTorch, TensorFlow, or scikit-learn.
  • Hands-on expertise in the full ML lifecycle including deployment, monitoring, and retraining.
  • Experience building and deploying LLM-based applications, including prompt design and model evaluation.
  • Familiarity with distributed data systems and modern ML infrastructure.
  • Bachelor’s degree in Computer Science, Machine Learning, Statistics, Mathematics, or related field.

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