Machine Learning Engineer Visa Sponsorship Jobs in Texas
Texas is one of the top states for machine learning engineer visa sponsorship, with major hiring hubs in Austin, Dallas, and Houston. Employers like Dell Technologies, Texas Instruments, AT&T, and a growing cluster of AI-focused startups regularly sponsor international engineers. The state's tech sector spans semiconductor research, enterprise software, and energy-sector AI applications.
Find Machine Learning Engineer JobsOverview
Showing 5 of 282+ Machine Learning Engineer Jobs in Texas with Visa Sponsorship
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 282+ Machine Learning Engineer Jobs in Texas with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Machine Learning Engineer Jobs in Texas with Visa Sponsorship.
Get Access To All JobsINTRODUCTION
Role: Agentic AI
LOCATION
Locations: Berkeley Heights, NJ / Dallas, TX / Alpharetta, GA
DURATION
Duration: Fulltime
MINIMUM QUALIFICATIONS
- Minimum 6+ years (not more than 15+ years overall) of experience in designing and development of AI/ML applications.
- Strong hands-on programming experience (Python required) with the ability to design and implement production-ready solutions (experience in JS/NodeJS or .NET/C# is a plus).
- Architecture and system-design experience, with a proven track record of translating designs into working code (must still code 50–70% of the time).
- Practical experience implementing AI/ML solutions end-to-end, including data preparation, model usage, and integration into applications (using frameworks like Scikit-Learn, TensorFlow, or PyTorch).
- Experience designing and building scalable ML/AI systems using APIs, microservices, and event-driven patterns — with direct hands-on implementation responsibility.
- Strong data handling skills, including Pandas/NumPy and working with structured and unstructured data in real systems.
- Cloud-native experience (Azure/AWS) with hands-on deployment, debugging, and performance tuning of AI workloads.
- Solid software engineering and DevOps practices, including Git, CI/CD pipelines, logging, monitoring, and production readiness.
- Individual contributor role — no people management; must personally design, code, debug, and support solutions.
INTRODUCTION
Role: Agentic AI
LOCATION
Locations: Berkeley Heights, NJ / Dallas, TX / Alpharetta, GA
DURATION
Duration: Fulltime
MINIMUM QUALIFICATIONS
- Minimum 6+ years (not more than 15+ years overall) of experience in designing and development of AI/ML applications.
- Strong hands-on programming experience (Python required) with the ability to design and implement production-ready solutions (experience in JS/NodeJS or .NET/C# is a plus).
- Architecture and system-design experience, with a proven track record of translating designs into working code (must still code 50–70% of the time).
- Practical experience implementing AI/ML solutions end-to-end, including data preparation, model usage, and integration into applications (using frameworks like Scikit-Learn, TensorFlow, or PyTorch).
- Experience designing and building scalable ML/AI systems using APIs, microservices, and event-driven patterns — with direct hands-on implementation responsibility.
- Strong data handling skills, including Pandas/NumPy and working with structured and unstructured data in real systems.
- Cloud-native experience (Azure/AWS) with hands-on deployment, debugging, and performance tuning of AI workloads.
- Solid software engineering and DevOps practices, including Git, CI/CD pipelines, logging, monitoring, and production readiness.
- Individual contributor role — no people management; must personally design, code, debug, and support solutions.
Machine Learning Engineer Job Roles in Texas
See all 282+ Machine Learning Engineer Jobs in Texas
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search Machine Learning Engineer Jobs in TexasMachine Learning Engineer Jobs in Texas: Frequently Asked Questions
Which companies sponsor visas for machine learning engineers in Texas?
Several large Texas-based employers have consistent track records of sponsoring machine learning engineers, including Dell Technologies, Texas Instruments, AT&T, and ExxonMobil, which applies ML to energy operations. Austin's tech corridor also includes Amazon, Apple, and Google offices that sponsor international engineers. Defense contractors near Dallas-Fort Worth, such as Lockheed Martin and Raytheon, hire ML engineers and have sponsored work visas through their established immigration programs.
Which visa types are most common for machine learning engineer roles in Texas?
The H-1B visa is the most common visa category for machine learning engineers in Texas, as the role typically requires at least a bachelor's degree in computer science, statistics, or a related field, satisfying the specialty occupation standard. Some engineers transition from F-1 OPT or STEM OPT extensions, which can provide up to three years of work authorization before H-1B visa sponsorship. Candidates with extraordinary research profiles may also qualify for the O-1A.
Which cities in Texas have the most machine learning engineer sponsorship jobs?
Austin leads Texas for machine learning engineer sponsorship activity, driven by its concentration of tech company campuses and AI startups. Dallas-Fort Worth follows closely, with strong demand from financial services firms, defense contractors, and telecom companies like AT&T. Houston has growing demand tied to energy-sector AI and medical research at institutions like the Texas Medical Center. San Antonio has a smaller but active market, particularly in cybersecurity and government-adjacent tech.
How to find machine learning engineer visa sponsorship jobs in Texas?
Migrate Mate lets you filter machine learning engineer roles specifically by visa sponsorship availability and state, making it straightforward to surface Texas-based employers actively hiring international candidates. Because sponsorship willingness is not always listed in standard job postings, using a platform built around that filter saves significant time. Roles in Austin, Dallas, and Houston appear frequently, and filtering by STEM-focused employers increases the likelihood of finding companies with established H-1B programs.
Are there any Texas-specific considerations for machine learning engineers seeking visa sponsorship?
Texas has no state income tax, which affects the prevailing wage calculation employers use when filing a Labor Condition Application, as wages are benchmarked to the local metropolitan area rather than adjusted for state taxes. Universities like UT Austin, Texas A&M, and Rice have strong ML research pipelines that feed directly into Texas employer sponsorship programs, making campus recruiting a meaningful channel. Texas also has a high concentration of STEM OPT-eligible employers willing to bridge candidates to H-1B sponsorship.
What is the prevailing wage for sponsored machine learning engineer jobs in Texas?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.