AI/ML Engineer II

USAA

Hybrid

Quick summary

Work type
Hybrid
Location
Phoenix, AZ
Posted
9 days ago
Closes
Jul 18, 2026

Market check

Salary context

How this pay compares to similar roles

Similar $200k
$146k most similar roles pay here $247k

This listing doesn't post a salary. Most similar roles pay $162,000–$237,175.

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 17 open roles on FindRole.

Listed pay typically runs $120,695–$230,685 across 10 roles with salary data.

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View all roles at USAA

At a glance

TL;DR · AI/ML Engineer II

Join USAA as a Machine Learning Engineer on their cutting-edge GenAI team, where you will contribute to the development and integration of machine learning models into business applications. Your day-to-day responsibilities include collaborating with Data Scientists to refactor model predictions into maintainable IT solutions, adhering to coding standards, and participating in all stages of ML projects from analysis to deployment. You will also design test scripts for data integrity verification, manage AI/ML infrastructure on cloud platforms like AWS, GCP, and Snowflake, and ensure compliance with risk policies. Required skills include expertise in Python libraries such as Pandas and NumPy, proficiency in frameworks like TensorFlow and PyTorch, and experience with DevOps tools including GitLab CI/CD and Docker.

What you'll do

  • Develop and integrate machine learning models into business applications to drive activities.
  • Collaborate with Data Scientists to refactor ML code into maintainable IT solutions.
  • Design and write test scripts to ensure data integrity and application functionality.
  • Configure AI/ML infrastructure in cloud environments using AWS, GCP, and Snowflake.
  • Participate in the full lifecycle of machine learning projects from analysis to deployment.
  • Manage workflow orchestration tools like Apache Airflow for ML project scheduling.

What we're looking for

  • Bachelor’s degree in a relevant field plus 2 years of experience in software development or related.
  • Proficient in Pandas, NumPy, PySpark, Snowflake SQL, BigQuery, HTML, and CSS.
  • Expertise in Scikit-learn, XGBoost, TensorFlow, PyTorch, and NLTK for ML and NLP tasks.
  • Experience with Google Cloud Platform (Vertex AI, BigQuery), AWS (S3, EC2), Azure, and Snowflake.
  • Knowledge of Apache Airflow, GitLab CI/CD, Docker, FastAPI, Flask, and Domino for workflow orchestration.
  • Ability to configure and manage AI/ML infrastructure in cloud/on-prem environments.

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