Artificial Intelligence Scientist Visa Sponsorship Jobs in Texas
Texas is one of the most active states for artificial intelligence scientist roles, with major hiring from companies like Texas Instruments, Dell Technologies, AT&T, and a growing cluster of AI-focused firms in Austin, Dallas, and Houston. The state's large research universities and technology corridors generate consistent demand for international candidates requiring visa sponsorship.
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About us:
webAI is pioneering the future of artificial intelligence by establishing the first distributed AI infrastructure dedicated to personalized AI. We recognize the evolving demands of a data-driven society for scalability and flexibility, and we firmly believe that the future of AI lies in distributed processing at the edge, bringing computation closer to the source of data generation. Our mission is to build a future where a company's valuable data and intellectual property remain entirely private, enabling the deployment of large-scale AI models directly on standard consumer hardware without compromising the information embedded within those models. We are developing an end-to-end platform that is secure, scalable, and fully under the control of our users, empowering enterprises with AI that understands their unique business. We are a team driven by truth, ownership, tenacity, and humility, and we seek individuals who resonate with these core values and are passionate about shaping the next generation of AI.
About the Role:
The AI Research Scientist will contribute to webAI’s development of next-generation AI models and systems. In this role, you will design, train, evaluate, and optimize cutting-edge machine learning models including large language models, multimodal architectures, and on-device inference systems. You will work closely with research leadership, applied AI teams, and platform engineering to advance scientific discovery while ensuring that innovations translate into real-world impact.
This is a hands-on research role for someone who loves experimentation, solving complex problems, and building AI that is powerful, efficient, and privacy-preserving.
Responsibilities:
- Design, train, and optimize machine learning models including LLMs, multimodal models, transformers, and diffusion architectures
- Conduct research on model efficiency, quantization, compression, and on-device deployment
- Prototype novel model architectures, training methods, and inference strategies for distributed AI
- Develop and evaluate benchmarks, datasets, and experimental frameworks to test model performance
- Collaborate with engineering teams to integrate research findings into production systems
- Stay current on leading research in deep learning, generative AI, and distributed ML
- Analyze experimental results and communicate insights clearly to technical and non-technical stakeholders
- Document research findings, contribute to internal papers, and present technical work across the organization
- Identify emerging technologies and propose research directions aligned with webAI’s strategic priorities
Qualifications
- 4+ years of experience (can be graduate research) in machine learning research, AI model development, or related fields
- Strong expertise in deep learning architectures including transformers, CNNs, RNNs, and diffusion models
- Hands-on experience training and fine-tuning large-scale models
- Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX
- Experience building datasets, designing experiments, and validating ML model performance
- Deep understanding of optimization techniques including quantization, distillation, pruning, and hardware-aware training
- Strong problem-solving skills and ability to work independently on complex research tasks
- Effective communication skills for presenting research findings to diverse audiences
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field
Preferred Skills
- Master’s or PhD in Machine Learning, Computer Science, AI, or a related field
- Experience with distributed training, edge inference, or on-device ML
- Research experience in generative AI, reinforcement learning, or multimodal learning
- Familiarity with privacy-preserving ML techniques such as federated learning
- Experience contributing to academic publications, patents, or open-source ML projects
- Comfort operating in a fast-paced, high-growth startup environment
We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:
- Truth - Emphasizing transparency and honesty in every interaction and decision.
- Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients.
- Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement.
- Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.
Benefits:
- Competitive salary and performance-based incentives.
- Comprehensive health, dental, and vision benefits package.
- 401k Match (US-based only)
- $200/mos Health and Wellness Stipend
- $400/year Continuing Education Credit
- $500/year Function Health subscription (US-based only)
- Free parking, for in-office employees
- Unlimited Approved PTO
- Parental Leave for Eligible Employees
- Supplemental Life Insurance
webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

About us:
webAI is pioneering the future of artificial intelligence by establishing the first distributed AI infrastructure dedicated to personalized AI. We recognize the evolving demands of a data-driven society for scalability and flexibility, and we firmly believe that the future of AI lies in distributed processing at the edge, bringing computation closer to the source of data generation. Our mission is to build a future where a company's valuable data and intellectual property remain entirely private, enabling the deployment of large-scale AI models directly on standard consumer hardware without compromising the information embedded within those models. We are developing an end-to-end platform that is secure, scalable, and fully under the control of our users, empowering enterprises with AI that understands their unique business. We are a team driven by truth, ownership, tenacity, and humility, and we seek individuals who resonate with these core values and are passionate about shaping the next generation of AI.
About the Role:
The AI Research Scientist will contribute to webAI’s development of next-generation AI models and systems. In this role, you will design, train, evaluate, and optimize cutting-edge machine learning models including large language models, multimodal architectures, and on-device inference systems. You will work closely with research leadership, applied AI teams, and platform engineering to advance scientific discovery while ensuring that innovations translate into real-world impact.
This is a hands-on research role for someone who loves experimentation, solving complex problems, and building AI that is powerful, efficient, and privacy-preserving.
Responsibilities:
- Design, train, and optimize machine learning models including LLMs, multimodal models, transformers, and diffusion architectures
- Conduct research on model efficiency, quantization, compression, and on-device deployment
- Prototype novel model architectures, training methods, and inference strategies for distributed AI
- Develop and evaluate benchmarks, datasets, and experimental frameworks to test model performance
- Collaborate with engineering teams to integrate research findings into production systems
- Stay current on leading research in deep learning, generative AI, and distributed ML
- Analyze experimental results and communicate insights clearly to technical and non-technical stakeholders
- Document research findings, contribute to internal papers, and present technical work across the organization
- Identify emerging technologies and propose research directions aligned with webAI’s strategic priorities
Qualifications
- 4+ years of experience (can be graduate research) in machine learning research, AI model development, or related fields
- Strong expertise in deep learning architectures including transformers, CNNs, RNNs, and diffusion models
- Hands-on experience training and fine-tuning large-scale models
- Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX
- Experience building datasets, designing experiments, and validating ML model performance
- Deep understanding of optimization techniques including quantization, distillation, pruning, and hardware-aware training
- Strong problem-solving skills and ability to work independently on complex research tasks
- Effective communication skills for presenting research findings to diverse audiences
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field
Preferred Skills
- Master’s or PhD in Machine Learning, Computer Science, AI, or a related field
- Experience with distributed training, edge inference, or on-device ML
- Research experience in generative AI, reinforcement learning, or multimodal learning
- Familiarity with privacy-preserving ML techniques such as federated learning
- Experience contributing to academic publications, patents, or open-source ML projects
- Comfort operating in a fast-paced, high-growth startup environment
We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:
- Truth - Emphasizing transparency and honesty in every interaction and decision.
- Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients.
- Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement.
- Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.
Benefits:
- Competitive salary and performance-based incentives.
- Comprehensive health, dental, and vision benefits package.
- 401k Match (US-based only)
- $200/mos Health and Wellness Stipend
- $400/year Continuing Education Credit
- $500/year Function Health subscription (US-based only)
- Free parking, for in-office employees
- Unlimited Approved PTO
- Parental Leave for Eligible Employees
- Supplemental Life Insurance
webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.
Artificial Intelligence Scientist Job Roles in Texas
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Search Artificial Intelligence Scientist Jobs in TexasArtificial Intelligence Scientist Jobs in Texas: Frequently Asked Questions
Which companies sponsor visas for artificial intelligence scientists in Texas?
Several major Texas employers have a documented history of sponsoring work visas for AI scientists, including Texas Instruments, Dell Technologies, AT&T, IBM, and Amazon Web Services, which has a significant presence in the Dallas-Fort Worth area. Defense contractors such as Raytheon and L3Harris, concentrated around Dallas and San Antonio, also hire AI scientists and have sponsored H-1B visas for qualified international candidates in research and engineering roles.
Which visa types are most common for artificial intelligence scientist roles in Texas?
The H-1B visa is the most commonly used category for artificial intelligence scientists in Texas, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates with exceptional research records may qualify for the O-1A visa. Those already holding a relevant advanced degree may also explore the EB-2 immigrant visa, including the National Interest Waiver pathway, given the research-intensive nature of AI science work.
Which cities in Texas have the most artificial intelligence scientist sponsorship jobs?
Austin leads Texas for AI scientist hiring, driven by a dense concentration of technology companies and proximity to the University of Texas at Austin. Dallas-Fort Worth is a close second, home to corporate headquarters of major tech and telecom employers actively filing H-1B petitions. Houston has a growing presence, particularly in AI applications connected to energy, health care, and aerospace. San Antonio sees demand primarily from defense and cybersecurity-adjacent AI roles.
How to find artificial intelligence scientist visa sponsorship jobs in Texas?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to browse artificial intelligence scientist openings in Texas without sorting through roles that do not offer sponsorship. You can narrow results by city, such as Austin or Dallas, and by role type to surface positions that match your background. Migrate Mate also surfaces employer sponsorship history, which helps you prioritize companies with a track record of filing H-1B or other work visa petitions for AI research roles in Texas.
Are there state-specific factors that affect visa sponsorship for AI scientists in Texas?
Texas has no state income tax, which affects how employers structure compensation packages but does not directly impact visa sponsorship eligibility. Employers must still meet Department of Labor prevailing wage requirements when filing a Labor Condition Application for H-1B positions. Texas's large research university system, including UT Austin, Texas A&M, and Rice University, creates a strong pipeline of OPT candidates who transition to employer-sponsored visas, meaning many Texas employers already have established processes for sponsoring AI scientists.
What is the prevailing wage for sponsored artificial intelligence 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.
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