AI & Machine Learning Engineer

USAA

AI/ML Engineer developing machine learning, GenAI, APIs, and data pipelines for USAA’s financial services platform. Supporting models across the lifecycle in a primarily office-based San Antonio or Plano role.

Posted 8/8/2026full-timeSan Antonio • Texas • 🇺🇸 United StatesJuniorMid-Level💰 $103,450 - $197,730 per yearWebsite

Core Competencies

Role fit

Core Competencies

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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 with cross-functional teams.

Highest-signal resume keywords

Machine Learning EngineeringPython ProgrammingData Engineering ConceptsAPI DevelopmentCloud Platform Fundamentals

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine Learning SolutionsData Pipeline EngineeringStatistical ModelingPredictive ModelingTest Script DevelopmentData Integrity VerificationRisk ManagementML FrameworksSQL ProgrammingJava Programming

Soft Skills

Effective CommunicationTeam Collaboration

Tools & Technologies

AWSGCPFastAPIOpenShiftSnowflakePandasNumPyScikit-learnGraph Databases

Industry Keywords

Financial ServicesInsuranceBankingRegulated Industry

Tech Stack

Tools & technologies

AWSCloudGoogle Cloud PlatformJavaNumpyOpenShiftPandasPythonScikit-LearnSQL

About the role

Key responsibilities & impact

Develop, test, implement, and integrate processes with business applications using machine learning model predictions and classifications
Refactor code with Data Scientists into IT-maintainable solutions following coding standards and best practices
Apply ML development standards and coding best practices
Contribute across the machine learning 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 application functionality
Review existing test scripts
Develop familiarity with ML 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
Collaborate with cross-functional teams and Data Scientists

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 and SQL
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 libraries such as pandas, NumPy, and scikit-learn
Effective communication skills and ability to work in a team-oriented setting
Working knowledge of cloud platform fundamentals and familiarity with at least one platform, such as AWS or GCP
Experience developing APIs
Programming skills using FastAPI, OpenShift, Snowflake or similar platforms, and Java
Financial services, insurance, banking, or other highly regulated industry experience is a differentiator
US military experience through military service or a military spouse/domestic partner is a differentiator
Must not require visa sponsorship or immigration support now or in the future, including H-1B, TN, and STEM OPT Training Plans

Benefits

Comp & perks

Remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs
Relocation assistance is not available for this position
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
Pay incentives may be available based on overall corporate and individual performance and at the discretion of the USAA Board of Directors