AI & Machine Learning Engineer

USAA

. Develop, test, implement, and integrate processes with business applications using machine learning model predictions and classifications .

Posted 9/21/2026full-timeSan Antonio • Texas • United StatesJuniorMid-Level💰 $103,450 - $197,730 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in machine learning engineering, data engineering, and software development, with a strong focus on implementing data solutions and developing APIs. Proficient in Python, SQL, and industry-standard ML libraries, while effectively collaborating in team-oriented environments.

Highest-signal resume keywords

Machine Learning EngineeringData EngineeringPython ProgrammingAPI DevelopmentCloud Platform Familiarity

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Machine Learning SolutionsData Pipeline EngineeringStatistical ModelingPredictive ModelingTest Script DevelopmentRisk ManagementSQL ProgrammingFastAPIOpenShiftGraph Databases

Soft Skills

Effective CommunicationTeam Collaboration

Tools & Technologies

AWSGCPPandasNumPyScikit-LearnSnowflake

Industry Keywords

Machine LearningData Science PrinciplesCoding StandardsBest PracticesCompliance Policies

Tech Stack

Tools & technologies

AWSCloudGoogle Cloud PlatformJavaNumpyOpenShiftPandasPythonSQL

About the role

Key responsibilities & impact

Develop, test, implement, and integrate processes with business applications using machine learning model predictions and classifications
Collaborate with Data Scientists to refactor model code into IT-maintainable solutions following coding standards and best practices
Apply ML development standards and coding best practices
Contribute to machine learning projects across the lifecycle, including analysis, solution design, data pipeline engineering, testing, deployment, scheduling, production support, API development, and application integration
Support GenAI applications, ML frameworks/libraries, and ML models
Design and write test scripts to verify data integrity and functionality
Review existing test scripts
Develop familiarity with machine learning engineering best practices through training, documentation review, and code review
Configure, manage, and set up AI/ML infrastructure components in cloud and on-premises environments, including AWS, GCP, and graph databases
Identify, measure, monitor, and control risks in accordance with risk and compliance policies and procedures

Requirements

What you’ll need

Bachelor's degree; OR 4 years of relevant education and/or experience
2+ years of machine learning engineering, data engineering, or software development experience implementing data solutions
Programming skills using Python, SQL, etc.
Working understanding of data engineering concepts
Working experience implementing machine learning solutions
Familiarity with Data Science principles and methodologies
Familiarity with statistical and predictive modeling approaches and machine learning concepts
Working experience using industry standard machine learning related libraries such as pandas, numPy, sci-kit learn, etc.
Effective communication skills with the ability to work effectively in a team-oriented setting
Working knowledge of cloud platform fundamentals and familiarity with at least one platform, e.g., AWS or GCP
Experience developing APIs
Programming skills using FastAPI, OpenShift, Snowflake or any similar platform, Java, etc.
USAA does not provide visa sponsorship; applicants must not need immigration support now or in the future

Benefits

Comp & perks

Remote or hybrid flexibility may be offered for active-duty military spouses, consistent with applicable policy and business needs
Pay incentives may be available based on overall corporate and individual performance and at the discretion of the USAA Board of Directors
Comprehensive medical, dental and vision plans
401(k)
Pension
Life insurance
Parental benefits
Adoption assistance
Paid time off program
Paid holidays
16 paid volunteer hours
Various wellness programs
Career path planning
Continuing education assistance