ML Engineer Visa Sponsorship Jobs in Texas
Texas is one of the most active states for ML engineer visa sponsorship, driven by major tech hubs in Austin, Dallas, and Houston. Employers like Dell Technologies, AT&T, Amazon, and a growing cluster of AI startups regularly sponsor international ML engineers. The state's expanding data infrastructure and energy-sector AI adoption add further demand.
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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.
ML Engineer Job Roles in Texas
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Search ML Engineer Jobs in TexasML Engineer Jobs in Texas: Frequently Asked Questions
Which companies sponsor visas for ML engineers in Texas?
Several large employers in Texas have consistent track records of sponsoring ML engineers, including Dell Technologies, AT&T, Amazon, Apple (Austin campus), and Oracle. Texas Instruments and ExxonMobil also hire ML engineers for hardware and energy applications. Beyond these, Austin's AI startup ecosystem and Dallas-based financial services firms have become active sponsors as machine learning roles expand across industries.
Which visa types are most common for ML engineer roles in Texas?
The H-1B visa is the most common visa for ML engineers in Texas, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, mathematics, or a related field. Candidates with an Australian passport may qualify for the E-3 visa, which has no lottery. Those with extraordinary achievement may pursue the O-1A. TN visa status is available to Canadian and Mexican nationals in qualifying engineering roles.
Which cities in Texas have the most ML engineer sponsorship jobs?
Austin leads Texas for ML engineer sponsorship volume, anchored by large tech campuses and a dense concentration of AI-focused startups. Dallas-Fort Worth is the second major hub, with demand from financial services, telecommunications, and enterprise software companies. Houston adds opportunities in energy tech and healthcare AI. San Antonio has a growing cybersecurity and defense sector with emerging ML hiring activity.
How to find ml engineer visa sponsorship jobs in Texas?
Migrate Mate is built specifically for international job seekers and filters ML engineer roles in Texas by visa sponsorship availability, so you're not sorting through listings that won't support work authorization. The platform aggregates verified sponsoring employers, which is especially useful in Texas where demand is spread across Austin, Dallas, and Houston across tech, energy, and finance sectors.
Are there any Texas-specific considerations for ML engineers seeking visa sponsorship?
Texas has no state income tax, which affects prevailing wage calculations that employers must meet under H-1B Labor Condition Application requirements. The state's large university pipeline, including UT Austin and Texas A&M, means employers are accustomed to sponsoring new graduates. ML engineers in energy and defense sectors should note that some roles may require security clearances, which can complicate or limit sponsorship eligibility for international candidates.
What is the prevailing wage for sponsored ml 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.