AI/ML Engineer- Entry Level

Why USAA?

Let’s do something that really matters.

At USAA, we have an important mission: facilitating the financial security of millions of U.S. military members and their families. Not all of our employees served in our nation’s military, but we all share in the mission to give back to those who did. We’re working as one to build a great experience and make a real impact for our members.

We believe in our core values of honesty, integrity, loyalty and service. They’re what guides everything we do – from how we treat our members to how we treat each other. Come be a part of what makes us so special!

The Opportunity

We are seeking an entry-level Artificial Intelligence and Machine Learning Engineer to join our growing team. You will assist senior engineers in developing and implementing AI/ML solutions. This role provides excellent opportunities to learn and contribute to real-world projects. Responsibilities include data preprocessing, model training, building API’s, and data pipelines. Ideal candidates possess a strong foundation in relevant programming languages and machine learning concepts.

Within defined guidelines and framework, engaged in all phases of the data management and machine learning lifecycles to include requirement analysis, collection, processing, statistical analysis of data, monitoring of model performance, and adherence to related risk requirements. Develops and maintains technical systems that use machine learning models to make predictions used for classification and/or decision making.

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, Plano, TX, or Phoenix, AZ. Relocation assistance is not available for this position.

What you'll do:

• Participates in onboarding program to become familiarized with tool, technologies, and development processes.
• 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.
• 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.
• Executes tests scripts and may begin to deploy machine learning pipeline code with assistance from senior team members.
• Monitors the execution of machine learning pipelines in the production environment. May begin to troubleshoot and return failures to service. Escalates failures through proper channels to ensure timely resolution.
• 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 related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.
• Up to 2 years of machine learning engineering, data engineering, or software development experience implementing data solutions.
• Strong analytical and problem-solving skills
• Programming skills using Python, R, Java, etc.
• Basic understanding of data engineering concepts
• Familiarity with industry standard machine learning related libraries such as pandas, numPy, sci-kit learn, etc.
• Basic understanding of statistical and predictive modeling approaches and machine learning concepts
• Effective communication skills with the ability to work effectively in a team-oriented setting.
• Basic knowledge of cloud fundamentals on at least one platform e.g., AWS or GCP.

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.

What we offer:

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. The salary range for this position is: $67,220-$128,480.

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

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, please 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 and affirmative action employer and gives consideration for employment to qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, national origin, age, disability, genetic information, protected veteran status, or any other legally protected characteristic.