Machine Learning Visa Sponsorship Jobs in Texas
Texas is one of the most active states for machine learning hiring, with major employers including Google, Meta, Amazon, and Dell Technologies operating across Austin, Dallas, and Houston. The state's fast-growing tech corridor and energy sector create consistent demand for ML engineers and researchers who need visa sponsorship.
Find Machine Learning JobsOverview
Showing 5 of 146+ Machine Learning Jobs in Texas with Visa Sponsorship
See all 146+ Machine Learning 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 Jobs in Texas with Visa Sponsorship.
Get Access To All JobsINTRODUCTION
Note: Looking for Ex-JPMC Candidates with OPT, CPT, GC or USC Visas for Fulltime only.
ROLE
Who You Are
You are a Senior AI/ML Full Stack Engineer who brings deep hands-on experience building production-grade AI applications with Java or Python. You've spent 7-10+ years mastering full-stack development and have moved confidently into agentic AI, RAG architectures, and LLM orchestration. You're just as comfortable designing a vector store retrieval pipeline as you are hardening a CI/CD deployment on AWS. You thrive in fast-paced, in-office environments where live coding and hands-on problem solving are part of the culture, and you're excited to bring responsible AI practices — guardrails, evaluation frameworks, and content filtering — into everything you build.
Responsibilities
- Design and build AI/ML applications end-to-end, from architecture through production deployment
- Implement RAG pipelines, including chunking strategies, embedding models, and vector store integration (Pinecone, OpenSearch, pgvector, FAISS)
- Build and orchestrate AI agents using frameworks such as LangChain, LlamaIndex, Semantic Kernel, or CrewAI
- Develop and deploy solutions using AWS Bedrock, Anthropic Claude models, and model invocation APIs
- Apply advanced prompt engineering techniques — system prompts, few-shot, chain-of-thought, tool use, structured outputs
- Build conversational AI experiences, including chatbots (text) and voicebots (speech-to-text, text-to-speech)
- Design and maintain APIs (REST, GraphQL), microservices, and event-driven architectures
- Own CI/CD pipelines, containerization (Docker, ECS/EKS), and infrastructure-as-code for production systems
- Implement evaluation frameworks, guardrails, content filtering, and responsible AI practices across LLM-powered features
BASIC QUALIFICATIONS
What You Bring
- Bachelor's degree required
- 10+ years of software development experience (Java or Python), OR 7+ years if entirely full-stack + Agentic AI development experience
- 2+ years hands-on experience building AI/ML applications in production
- Strong proficiency with RAG architectures — chunking strategies, embedding models, vector stores (Pinecone, OpenSearch, pgvector, FAISS)
- Experience with AI orchestration frameworks: LangChain, LlamaIndex, Semantic Kernel, or CrewAI
- Hands-on experience with AWS Bedrock, Anthropic Claude models, and model invocation APIs
- Proven prompt engineering skills — system prompts, few-shot, chain-of-thought, tool use, structured outputs
- Experience building conversational AI: chatbots (text) and voicebots (speech-to-text, text-to-speech)
- Proficiency with AWS services (Lambda, Step Functions, API Gateway, S3, DynamoDB, SQS)
- Experience with CI/CD pipelines, containerization (Docker, ECS/EKS), and infrastructure-as-code
- Strong understanding of API design (REST, GraphQL), microservices architecture, and event-driven systems
- Familiarity with evaluation frameworks for LLM outputs
- Experience with guardrails, content filtering, and responsible AI practices
INTRODUCTION
Note: Looking for Ex-JPMC Candidates with OPT, CPT, GC or USC Visas for Fulltime only.
ROLE
Who You Are
You are a Senior AI/ML Full Stack Engineer who brings deep hands-on experience building production-grade AI applications with Java or Python. You've spent 7-10+ years mastering full-stack development and have moved confidently into agentic AI, RAG architectures, and LLM orchestration. You're just as comfortable designing a vector store retrieval pipeline as you are hardening a CI/CD deployment on AWS. You thrive in fast-paced, in-office environments where live coding and hands-on problem solving are part of the culture, and you're excited to bring responsible AI practices — guardrails, evaluation frameworks, and content filtering — into everything you build.
Responsibilities
- Design and build AI/ML applications end-to-end, from architecture through production deployment
- Implement RAG pipelines, including chunking strategies, embedding models, and vector store integration (Pinecone, OpenSearch, pgvector, FAISS)
- Build and orchestrate AI agents using frameworks such as LangChain, LlamaIndex, Semantic Kernel, or CrewAI
- Develop and deploy solutions using AWS Bedrock, Anthropic Claude models, and model invocation APIs
- Apply advanced prompt engineering techniques — system prompts, few-shot, chain-of-thought, tool use, structured outputs
- Build conversational AI experiences, including chatbots (text) and voicebots (speech-to-text, text-to-speech)
- Design and maintain APIs (REST, GraphQL), microservices, and event-driven architectures
- Own CI/CD pipelines, containerization (Docker, ECS/EKS), and infrastructure-as-code for production systems
- Implement evaluation frameworks, guardrails, content filtering, and responsible AI practices across LLM-powered features
BASIC QUALIFICATIONS
What You Bring
- Bachelor's degree required
- 10+ years of software development experience (Java or Python), OR 7+ years if entirely full-stack + Agentic AI development experience
- 2+ years hands-on experience building AI/ML applications in production
- Strong proficiency with RAG architectures — chunking strategies, embedding models, vector stores (Pinecone, OpenSearch, pgvector, FAISS)
- Experience with AI orchestration frameworks: LangChain, LlamaIndex, Semantic Kernel, or CrewAI
- Hands-on experience with AWS Bedrock, Anthropic Claude models, and model invocation APIs
- Proven prompt engineering skills — system prompts, few-shot, chain-of-thought, tool use, structured outputs
- Experience building conversational AI: chatbots (text) and voicebots (speech-to-text, text-to-speech)
- Proficiency with AWS services (Lambda, Step Functions, API Gateway, S3, DynamoDB, SQS)
- Experience with CI/CD pipelines, containerization (Docker, ECS/EKS), and infrastructure-as-code
- Strong understanding of API design (REST, GraphQL), microservices architecture, and event-driven systems
- Familiarity with evaluation frameworks for LLM outputs
- Experience with guardrails, content filtering, and responsible AI practices
Machine Learning Job Roles in Texas
See all 146+ Machine Learning 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 Jobs in TexasMachine Learning Jobs in Texas: Frequently Asked Questions
Which companies sponsor visas for machine learning roles in Texas?
Several large employers in Texas have established records of sponsoring work visas for machine learning talent. These include Google and Meta in Austin, AT&T and Goldman Sachs in Dallas, and ExxonMobil and Schlumberger in Houston, which apply ML to energy data problems. Large defense contractors such as Raytheon and Lockheed Martin also hire ML engineers in the Dallas-Fort Worth area, though some roles require U.S. citizenship.
Which visa types are most common for machine learning jobs in Texas?
The H-1B visa is the most common visa category for machine learning roles in Texas, as ML engineer and data scientist positions consistently qualify as specialty occupations requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates with extraordinary ability may pursue the O-1A. Australians working in ML may qualify for the E-3 visa, and Canadian and Mexican nationals may explore TN visa status under the USMCA mathematician or computer systems analyst categories.
Which cities in Texas have the most machine learning sponsorship jobs?
Austin concentrates the largest share of ML sponsorship opportunities in Texas, driven by a dense cluster of tech companies and the presence of UT Austin's strong computer science program. Dallas-Fort Worth is a close second, with significant activity in financial services, telecom, and defense. Houston adds meaningful volume through energy-sector applications of ML, particularly in predictive maintenance, seismic analysis, and supply chain optimization.
How to find machine learning visa sponsorship jobs in Texas?
Migrate Mate is built specifically for international job seekers and filters machine learning roles in Texas by visa sponsorship status, so you're only seeing employers actively open to sponsoring. You can filter by city, visa type, and role to narrow results quickly. Because ML is a high-demand field in Texas, new sponsored positions are posted regularly across Austin, Dallas, and Houston, making it worth checking Migrate Mate consistently rather than in a single session.
Are there any Texas-specific considerations for machine learning visa sponsorship?
Texas has no state income tax, which affects prevailing wage comparisons under H-1B Labor Condition Applications since take-home pay differs from states with income tax. The Department of Labor sets prevailing wages by metropolitan area, so rates in Austin, Dallas, and Houston each differ. UT Austin, Rice University, and Texas A&M produce significant ML research talent, meaning local university hiring pipelines are active and some roles are tied to research lab positions that carry their own visa sponsorship structures.
What is the prevailing wage for sponsored machine learning 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.