AI Researcher Jobs in Texas
AI Researcher jobs in Texas are among the most active in the country, with demand concentrated in machine learning, natural language processing, and computer vision across the technology, defense, energy, and healthcare sectors at every level from research associate through principal scientist. Austin, Dallas, and Houston anchor the market, with employers like Dell Technologies, Lockheed Martin, and MD Anderson Cancer Center maintaining a sustained presence and consistent hiring for these roles. Texas-based AI research teams are especially focused on applied research in energy optimization, autonomous systems, and clinical AI. Find a role that fits below and apply directly.
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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 work within webAI’s Intelligence Lab as the “brain” of development. Their primary objective is to push the boundaries of what is possible. While they collaborate with engineers, their success is measured by the novelty and efficacy of their models, often operating in a high-uncertainty environment. This individual will work closely with research leadership and applied AI teams 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. This position is based in-office at our downtown Austin headquarters.
Responsibilities:
- Algorithm Development: Design and train novel architectures (e.g., Transformers, State-Space Models, Diffusion) to solve complex business problems.
- Experimental Design: Lead the hypothesis-testing phase, defining evaluation benchmarks and loss functions that align with human intent.
- Literature Leadership: Stay at the bleeding edge of ArXiv and academic conferences (NeurIPS, ICML, CVPR) to implement or improve upon the latest research.
- Prototyping: Build "proof-of-concept" models that demonstrate a significant leap in accuracy, speed, or reasoning capability.
- Knowledge Transfer: Document findings and mentor engineers on the mathematical nuances of the models.
Qualifications
- Experience: 5+ years of post-doc or industrial research experience or equivalent university time with a deep experience that matches WIL objectives to include with a track record of publications or significant model releases.
- Technical Depth: Mastery of linear algebra, calculus, and probability; deep proficiency in Python and deep learning frameworks.
- Education: PhD in Machine Learning, Mathematics, Physics, or a highly quantitative field.
Benefits
- Competitive salary
- Equity options
- Comprehensive health, dental, and vision benefits package
- 401(k) match (U.S. based employees only)
- $200/month Health & Wellness stipend
- $500/year Function Health subscription (U.S.-based employees only)
- Continuing Education support
- Free parking for in-office employees
- Flexible Time Off (FTO)
- 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 work within webAI’s Intelligence Lab as the “brain” of development. Their primary objective is to push the boundaries of what is possible. While they collaborate with engineers, their success is measured by the novelty and efficacy of their models, often operating in a high-uncertainty environment. This individual will work closely with research leadership and applied AI teams 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. This position is based in-office at our downtown Austin headquarters.
Responsibilities:
- Algorithm Development: Design and train novel architectures (e.g., Transformers, State-Space Models, Diffusion) to solve complex business problems.
- Experimental Design: Lead the hypothesis-testing phase, defining evaluation benchmarks and loss functions that align with human intent.
- Literature Leadership: Stay at the bleeding edge of ArXiv and academic conferences (NeurIPS, ICML, CVPR) to implement or improve upon the latest research.
- Prototyping: Build "proof-of-concept" models that demonstrate a significant leap in accuracy, speed, or reasoning capability.
- Knowledge Transfer: Document findings and mentor engineers on the mathematical nuances of the models.
Qualifications
- Experience: 5+ years of post-doc or industrial research experience or equivalent university time with a deep experience that matches WIL objectives to include with a track record of publications or significant model releases.
- Technical Depth: Mastery of linear algebra, calculus, and probability; deep proficiency in Python and deep learning frameworks.
- Education: PhD in Machine Learning, Mathematics, Physics, or a highly quantitative field.
Benefits
- Competitive salary
- Equity options
- Comprehensive health, dental, and vision benefits package
- 401(k) match (U.S. based employees only)
- $200/month Health & Wellness stipend
- $500/year Function Health subscription (U.S.-based employees only)
- Continuing Education support
- Free parking for in-office employees
- Flexible Time Off (FTO)
- 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.
See All 20 AI Researcher Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find AI Researcher JobsAI Researcher Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
AI Researcher Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
- University of Texas at El Paso4
- Southern Methodist University2
- Wolters Kluwer2
- webAI2
- Arm1
Top Industries Hiring
- Education11
- Technology & Software5
- Accounting & Auditing2
- Consulting & Professional Services1
- Electronics & Hardware1
What Texas Employers Look For
The qualifications that appear most often in AI researcher jobs across Texas.
- PhD or master's degree in computer science, AI, or a closely related technical field
- Demonstrated research experience with publication record or deployed AI systems
- Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow
- Experience designing and running large-scale model training and evaluation pipelines
- Ability to collaborate with engineering and product teams on applied research problems
- Familiarity with domain-specific data in energy, defense, healthcare, or enterprise software
AI Researcher Jobs in Texas: Frequently Asked Questions
How do you become a ai researcher in Texas?
Most ai researcher roles in Texas require at least a master's degree, and senior positions typically expect a PhD in computer science, machine learning, statistics, or a related field. Texas has no state-issued license for this role. Hiring managers at Texas universities, national laboratories like Sandia and Argonne's Texas sites, and major tech and energy employers generally look for a strong publication record or a portfolio of shipped AI systems alongside formal credentials.
How much do AI researchers make in Texas?
AI researchers in Texas earn a median of about $121,210 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $65,480 for the lowest 10% to over $204,250 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai researchers in Texas?
Employers hiring ai researchers in Texas right now include University of Texas at El Paso, Southern Methodist University, and Wolters Kluwer, based on current listings on Migrate Mate as of June 2026. Texas's mix of large defense contractors, energy majors, academic medical centers, and headquartered technology firms means ai researcher demand is spread across distinctly different research areas depending on the employer.
Which Texas cities have the most ai researcher jobs?
Austin, Dallas, and El Paso have the most ai researcher openings in Texas. Austin leads because of its dense technology sector and proximity to the University of Texas, Dallas draws research roles tied to telecom, fintech, and corporate headquarters, and Houston's openings are driven heavily by energy companies and the Texas Medical Center, one of the largest medical research complexes in the world.
Are there remote ai researcher jobs in Texas?
Yes, and more than most fields. AI research is largely computational, making it well suited to remote or hybrid arrangements. About 15% of ai researcher openings tied to Texas are remote or hybrid as of June 2026, reflecting the broader tech industry's flexibility for this type of work. Roles focused on pure modeling and experimentation skew most remote, while positions requiring access to specialized hardware clusters or sensitive defense environments are more likely to require on-site presence.
How can I get hired as a ai researcher in Texas with little or no experience?
The most realistic entry path is through a research assistantship or internship during a graduate program at a Texas institution such as UT Austin, Texas A&M, or Rice University, where direct industry connections to Austin tech firms, Houston energy companies, and Dallas corporate labs are built in. Large Texas employers including Dell Technologies and several defense contractors run internship-to-hire pipelines specifically for early-career researchers. Moving laterally from a machine learning engineer or data scientist role is another recognized route, especially if you can show independent research contributions through open-source projects or conference papers.
Where can I find and apply to ai researcher jobs in Texas?
You can find and apply to ai researcher jobs in Texas on Migrate Mate, which lists current Texas openings across the state's major hiring markets. Find roles that fit your background and apply directly to the employers posting them.
See All 20 AI Researcher Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
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