Work From Home Full Stack Machine Learning Engineer Jobs in Blanco, TX

Why USAA?

At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.

Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful.

We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs.

The Opportunity

The Artificial Intelligence and Machine Learning Engineer will be part of a dedicated AI engineering team that focuses on developing and implementing AI/ML solutions for all lines of business within USAA. This role provides excellent opportunities to learn and contribute to a variety of exciting areas including sentiment analysis and agentic AI applications to enable USAA to provide best in class service to our members with cutting edge technology. Responsibilities include data preprocessing, model training, building APIs, and building data pipelines.

We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, or Plano, TX. Relocation assistance is not available for this position.

What you'll do:

• Contributes to the development, testing, implementation, and integration of processes with business applications that utilize machine learning model predictions and classifications to inform or drive business activities.

• Leverage understanding of models and collaborate with Data Scientists to refactor the code into IT maintainable solutions that follows best practices and meets appropriate coding standards.

• Adheres to and applies ML development standards and coding best practices.

• Works with cross-functional team to contribute to machine learning projects throughout the machine learning lifecycle to include analysis, solution design, data pipeline engineering, testing, deployment, scheduling, production support, API development, and application integration in support of GenAI applications, ML frameworks/libraires, and ML models.

• Assists with designing and writing test scripts to verify data integrity and application of functionality. Reviews functionality of existing test scripts for understanding.

• Develops familiarity of machine learning engineering best practices by participating in trainings, reviewing documentation, and reading code from existing solutions.

• Configure, manage, and set up AI/ML infrastructure components in cloud/on-prem environments for projects and the AI/ML community stakeholders. This includes AWS, GCP, graph databases.

• Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

What you have:

• Bachelor's degree; OR 4 years of relevant education and/or experience; and

• 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.

What sets you apart:

• Experience developing APIs

• Programming skills using FastAPI, OpenShift, Snowflake (or any similar platform), Java, etc.

• Financial services, insurance, banking, or other highly regulated industry experience.

• US military experience through military service or a military spouse/domestic partner

Compensation range: The salary range for this position is: $103,450 - $197,730.

USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).

Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.

Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.

For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.

Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.

USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.