AI & Machine Learning Engineer

USAA

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
San Antonio, TXPlano, TX
Salary
$127,310–$243,340 / yr
Posted
3 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $212k
This role $185k
$111k most similar roles pay here $279k

This role pays less than 72% of similar roles. Most pay $177,600–$246,665 — the shaded band above. At the midpoint, this role pays about $185k versus about $212k 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 14 open roles on FindRole.

Listed pay typically runs $143,320–$273,930 across 14 roles with salary data.

Most-posted roles

View all roles at USAA

At a glance

TL;DR · AI & Machine Learning Engineer

The Experienced AI & Machine Learning Engineer joins a dedicated engineering team to develop and implement AI/ML solutions across all lines of business. This role involves the full lifecycle of machine learning engineering, including data preprocessing, model training, building APIs, and developing data pipelines for sentiment analysis and agentic AI applications. The engineer will partner with Data Scientists to integrate predictive analytics into business applications while refactoring code into maintainable IT solutions. Key responsibilities include managing infrastructure components in cloud or on-prem environments and creating prototypes for complex initiatives. Required skills include proficiency in Python, SQL, Java, FastAPI, and Snowflake, along with experience in MLOps, data engineering, and cloud platforms like AWS Sagemaker. The role addresses the technical challenge of deploying GenAI applications and ML models within a highly regulated financial services environment.

What you'll do

  • Develop and integrate machine learning models into business applications to drive organizational activities.
  • Build, optimize, and manage end-to-end data pipelines for various products and consumers.
  • Configure and manage AI/ML infrastructure components across cloud and on-premise environments like AWS and GCP.
  • Design and implement complex technical solutions for generative AI, machine learning, and artificial intelligence.
  • Create proofs of concept and prototypes to drive the vision for complex initiatives.
  • Refactor data science code into maintainable IT solutions that follow established coding standards.
  • Conduct regular code reviews to ensure quality and compliance with company standards.
  • Monitor and control risks associated with business activities in accordance with policy.

What we're looking for

  • Bachelor's degree, or 4 years of relevant education and experience.
  • 4+ years of machine learning engineering, data engineering, or software development experience implementing data solutions.
  • Strong programming skills in Python, SQL, and Java.
  • Strong experience in data engineering and building data pipelines.
  • Working knowledge of MLOps principles and implementing automated workflows.
  • Familiarity with statistical/predictive modeling approaches and machine learning concepts.
  • Strong experience with at least one cloud platform and relevant components like AWS Sagemaker.
  • Experience with FastAPI, OpenShift, Snowflake, financial services, or mentoring junior developers (preferred).

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