Senior AI/ML Engineer

USAA

Confirmed live today High trust

Quick summary

Work type
On-site
Location
San Antonio, TXCharlotte, NCPlano, TXPhoenix, AZ
Salary
$143,320–$273,930 / yr
Employment
Full-time
Posted
8 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $203k
This role $209k
$128k $290k
below market most similar roles pay here above market

This role pays more than 50% of similar roles. Most pay $163,125–$242,062 — the blue band above. At the midpoint, this role pays about $209k versus about $203k for comparable roles.

Based on 240 similar postings.

Employer

About USAA

USAA (United Services Automobile Association) is a San Antonio-based Fortune 500 financial services company founded in 1922, dedicated to providing insurance, banking, and investment solutions exclusively to U.S. military members, veterans, and their families.

USAA currently has 65 open roles on FindRole.

Listed pay typically runs $114,080–$218,030 across 42 roles with salary data.

Most-posted roles

View all roles at USAA

At a glance

TL;DR · Senior AI/ML Engineer

As an AI/ML Engineer - Senior Level, you will join the team to manage the full machine learning lifecycle, including requirement analysis, data collection, processing, and model performance monitoring. You will build and maintain technical systems that use machine learning models for classification and decision-making, specifically supporting GenAI applications. Your daily work involves designing data pipelines, developing APIs, and configuring infrastructure components in cloud and on-prem environments. You will utilize Python, Java, or R, along with AWS, GCP, and graph databases. Key responsibilities include creating prototypes for complex solutions, mentoring junior team members, and ensuring all business activities adhere to risk and compliance policies. You will apply MLOps principles and stochastic modeling to solve complex technical problems within a production environment.

What you'll do

  • Lead the full machine learning lifecycle including analysis, solution design, data pipeline engineering, testing, and deployment.
  • Develop and maintain technical systems that use machine learning models for classification and decision-making.
  • Configure and manage AI/ML infrastructure components in cloud and on-premise environments like AWS and GCP.
  • Design and implement complex technical solutions for machine learning, artificial intelligence, and GenAI applications.
  • Create proof of concepts and prototypes for complex solutions and present them to leadership.
  • Identify, measure, and monitor risks associated with business activities in accordance with compliance policies.
  • Mentor junior team members and provide technical feedback on ML solutions within the technical lead community.
  • Influence and define ML model implementation patterns in complex environments alongside architects.

What we're looking for

  • Bachelor's degree or 4 years of relevant education and/or experience.
  • 6 years of experience in machine learning engineering, data engineering, or software development.
  • 2 years of demonstrated technical leadership experience and/or leading teams.
  • Extensive programming experience using Python, Java, or R.
  • Extensive data engineering experience.
  • Experience delivering end-to-end machine learning and AI/GenAI solutions, including building and optimizing data pipelines.
  • Experience completing multiple projects leveraging agile methodology to implement ML models.
  • Expert knowledge of at least one cloud platform and relevant components, such as AWS SageMaker.

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