2

Remote Machine Learning Jobs in New Braunfels, TX

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... The Opportunity The Senior Artificial Intelligence and Machine Learning Engineer will be part of a ...

Are you looking for an independent, flexible, remote opportunity where you can help improve AI ... machine learning models. Our flexible freelance opportunities allow you to work at your own pace ...

New

next page

Showing results 1-20

Remote Machine Learning information

See New Braunfels, TX salary details

$22.8K

$38.1K

$78.8K

How much do remote machine learning jobs pay per year?

As of Aug 20, 2026, the average yearly pay for remote machine learning in New Braunfels, TX is $38,140.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,100.00 and $41,200.00 per year, depending on experience, location, and employer.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a machine learning engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

What are the most commonly searched types of Machine Learning jobs in New Braunfels, TX?

The most popular types of Machine Learning jobs in New Braunfels, TX are:

What are popular job titles related to Remote Machine Learning jobs in New Braunfels, TX?

For Remote Machine Learning jobs in New Braunfels, TX, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning jobs in New Braunfels, TX look for?

The top searched job categories for Remote Machine Learning jobs in New Braunfels, TX are:

What cities near New Braunfels, TX are hiring for Remote Machine Learning jobs?

Cities near New Braunfels, TX with the most Remote Machine Learning job openings:

Infographic showing various Remote Machine Learning job openings in New Braunfels, TX as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $38,140 per year, or $18.3 per hour.

Senior AI & Machine Learning Engineer

USAA

San Antonio, TX • On-site, Remote

$143K - $273K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


USAA rating

8.2

Company rating: 8.2 out of 10

Based on 262 frontline employees who took The Breakroom Quiz

51st of 171 rated banks


Job description

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 Senior 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:

  • Consults with data scientists and business partners on approaches involving ML model development and implementation.

  • Provides technical feedback on ML solutions within technical lead community.

  • Leads the full life cycle of machine learning engineering to include analysis, solution design, data pipeline engineering, testing, deployment, scheduling, application integration, production support, API development, and application integration in support of GenAI applications, ML frameworks/libraires, and ML models.

  • 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.

  • Works with architects to influence and define ML model implementation patterns in complex environments.

  • Understand complex model implementation requirements and how to recognize and apply appropriate design patterns throughout solution design and implementation.

  • Designs and implements complex technical solutions for machine learning, artificial intelligence, GenAI, Creates proof of concepts and prototypes on highly complex solutions and presents to leadership to deliver on vision for solution.

  • Assists in setting technical direction for the team and serves as a mentor to team members.

  • 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

  • 6+ years of machine learning engineering, data engineering, or software development experience implementing data solutions.

  • Extensive programming experience using Python, SQL, Java etc.

  • Extensive data engineering experience.

  • Experience with end to end delivering of machine learning and AI/GenAI solutions that includes building, integrating, and optimizing data pipelines; curating and modeling the data for various types of consumers/products and their pattern of usage to include data marts, data lake, and operational analytic applications.

  • Experience completing multiple projects leveraging the agile methodology in implementing ML models.

  • Experience leveraging ML Ops principles and implementing automated workflows.

  • Demonstrated technical leadership experience

  • Demonstrated ability to mentor junior members of the technical team in area of expertise.

  • Knowledge of Data Science principles and methodologies.

  • Knowledge of stochastic modeling, machine learning, or other advanced mathematical techniques.

  • Effective communication skills, with the ability to present complex technical concepts to both technical and non-technical audiences.

  • Expert knowledge of at least one cloud platform and relevant components e.g., AWS Sagemaker.

What sets you apart:

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

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

  • Experience mentoring junior developers and providing technical leadership.

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

Compensation range: The salary range for this position is: $143,320 - $273,930.

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.


What USAA employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom