Machine Learning Scientist Visa Sponsorship Jobs in Texas
Texas is a major hub for machine learning scientist roles, with employers spanning Dell Technologies and AT&T in Austin, ExxonMobil and Shell in Houston, and a growing cluster of AI startups and financial tech firms in Dallas. The state's concentration of research universities and Fortune 500 companies creates consistent demand for visa-sponsored talent in this field.
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INTRODUCTION
Founded on a legacy of more than 120 years in banking, Bank OZK is much more than just a company. We’re nationally recognized as an industry leader in financial services. That means we combine exceptional service with innovative technologies to deliver smart solutions to our clients across the country. We’re investing in small businesses, fueling economies in local communities and changing skylines in the largest cities across America. Here, we're not simply filling roles. We're fostering even greater careers.
The foundation for a great career starts with an exceptional team and a comprehensive benefits package. We believe in providing our dedicated team members with the best resources to support their physical, mental and financial wellbeing, including generous PTO, 401(k) matching, health, dental, vision (and pet!) insurance as well as special perks and discounts. Learn more about Bank OZK benefits.
JOB PURPOSE & SCOPE
Leads the development of scalable artificial intelligence (AI) systems, focusing on prompt tuning, retrieval-augmented generation (RAG) pipelines, and microservices architecture to advance Bank OZK’s enterprise AI initiatives. Collaborates across teams to deliver production-ready AI applications that drive innovation, operational efficiency, and enhanced customer experiences.
ESSENTIAL JOB FUNCTIONS:
- Designs and optimizes prompts for Gen AI and Agentic models/systems, large language models (LLMs) such as GPT, LLaMA, Mistral, and Gemini to achieve business-focused outcomes.
- Develops and maintains retrieval-augmented generation (RAG) pipelines and agentic workflows using tools like LangGraph, AutoGen, Milvus, Pinecone, or Weaviate.
- Builds cloud-native, scalable microservices to support AI applications in production environments.
- Implements AI-powered applications using Python and Java, ensuring robust and maintainable codebases.
- Supports data ingestion, preprocessing, and feature engineering to enable effective model training and deployment.
- Assists in the deployment, monitoring, versioning, and scaling of AI systems on cloud platforms.
- Collaborates with senior engineers, product managers, and research scientists to deliver enterprise-grade AI solutions.
- Monitors advancements in AI/ML research and tools to inform ongoing development and strategic direction.
- Performs other duties as assigned.
KNOWLEDGE, SKILLS & ABILITIES:
- General knowledge of model fine-tuning and optimization techniques.
- General knowledge of distributed systems and microservices architecture beyond AI applications.
- General knowledge of machine learning fundamentals.
- Strong problem-solving skills and ability to translate business challenges into technical solutions.
- Effective collaboration and communication skills across cross-functional teams.
- Proficient skill with agentic AI orchestration tools such as LangGraph, AutoGen, and Camunda.
- Strong organizational, critical thinking, and time management skills.
- Proficient skill in Python and Java for AI application development.
- Strong skills in LLMs, NLP, and GenAI applications.
- Skill with cloud platforms (e.g. AWS, Azure, GCP) and containerization technologies (e.g. Docker, Kubernetes).
- Skill with databases including SQL, NoSQL, and vector databases.
- Ability to maintain confidentiality and exercise discretion and sound judgment in technical decision-making.
- Ability to work under minimal supervision.
- Ability to manage multiple projects or assignments and demonstrate flexibility in a continually changing environment.
- Ability to build scalable microservices and RAG systems.
BASIC QUALIFICATIONS:
- Bachelor’s degree in Computer Science, AI/ML, Data Science, or a related field, or commensurate work experience required.
- 4+ years of experience in AI/ML engineering or applied AI system development, required.
JOB EXPECTATIONS:
Operate customary equipment and technology used in a business environment, with or without accommodation.
Note: This description is not an exhaustive list of all job functions, duties, skills, and job standards required. Other job functions, duties, skills, and standards may be added. Management reserves the right to add or change the job requirements at any time.
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OZK
EEO STATEMENT:
Bank OZK is an equal opportunity employer and gives consideration for employment to qualified applicants without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by federal, state, and local law. Member FDIC.
Machine Learning Scientist Job Roles in Texas
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Search Machine Learning Scientist Jobs in TexasMachine Learning Scientist Jobs in Texas: Frequently Asked Questions
Which companies sponsor visas for machine learning scientists in Texas?
Texas has a well-established group of employers that sponsor H-1B visas for machine learning scientists. In Austin, Dell Technologies, Apple, and Oracle have active sponsorship histories. Houston's energy sector, including ExxonMobil and Halliburton, increasingly hires ML talent for predictive modeling and operations research. Dallas-Fort Worth hosts AT&T, Goldman Sachs, and Raytheon, all of which appear regularly in DOL Labor Condition Application filings for this role category.
Which visa types are most common for machine learning scientist roles in Texas?
The H-1B is the most common visa for machine learning scientists in Texas, given that the role typically requires a specialized degree in computer science, statistics, or a related field, meeting the specialty occupation standard. Candidates with extraordinary ability or significant research recognition sometimes qualify for the O-1A. Graduates from Texas universities may bridge on OPT or STEM OPT before employer-sponsored petition filing.
Which cities in Texas have the most machine learning scientist sponsorship jobs?
Austin leads in machine learning scientist sponsorship activity, driven by its dense tech sector and proximity to UT Austin. Dallas-Fort Worth follows closely, with demand from financial services, defense contractors, and large enterprise employers. Houston is a growing market, particularly for ML roles applied to energy, logistics, and health systems. San Antonio has a smaller but emerging presence tied to cybersecurity and military-adjacent technology firms.
How to find machine learning scientist visa sponsorship jobs in Texas?
Migrate Mate aggregates visa sponsorship jobs specifically for international candidates, making it straightforward to filter for machine learning scientist roles in Texas. Rather than sorting through general job listings where sponsorship status is unclear, Migrate Mate focuses on employers with documented sponsorship activity. This saves time and reduces the risk of pursuing roles where international applicants are unlikely to receive an offer.
Are there state-specific factors that affect machine learning scientist visa sponsorship in Texas?
Texas has no state income tax, which affects prevailing wage calculations employers must meet under DOL requirements for H-1B petitions. The state's large research university pipeline, including UT Austin, Texas A&M, and Rice, means many employers are already accustomed to sponsoring international graduates. Texas also hosts several H-1B-dependent employers in the tech and consulting sectors, which are subject to additional attestation requirements under federal law.
What is the prevailing wage for sponsored machine learning scientist 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.