AI Research Scientist Jobs in Texas
AI Research Scientist jobs in Texas are among the most actively recruited positions in the state's technology sector, with demand running from entry-level research associates through senior and principal scientists across artificial intelligence, machine learning, and large language model development. Austin, Dallas, and Houston anchor most of the hiring, where established employers including Dell Technologies, Texas Instruments, and MD Anderson Cancer Center maintain dedicated AI and data science research teams. The most sought-after specialties in Texas listings are natural language processing, computer vision, and reinforcement learning applied to enterprise software, semiconductor design, and biomedical research. Find a role that fits below and apply directly.
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Showing 5 of 6+ AI Research Scientist jobs
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 6 AI Research Scientist Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find AI Research Scientist JobsAI Research Scientist Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
AI Research Scientist Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
- KPMG1
- KPMG US1
- NVIDIA1
- Southern Methodist University1
- University of Texas Medical Branch1
Top Industries Hiring
- Accounting & Auditing2
- Education2
- Technology & Software2
- Consulting & Professional Services1
- Healthcare & Medical Services1
What Texas Employers Look For
The qualifications that appear most often in AI research scientist jobs across Texas.
- PhD or Master's degree in computer science, machine learning, or a closely related field
- Demonstrated research experience publishing in peer-reviewed AI or ML conferences
- Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow
- Experience designing and training large-scale models on distributed computing infrastructure
- Strong background in statistical modeling, probability theory, and applied mathematics
- Ability to collaborate across engineering and product teams to translate research into deployed systems
AI Research Scientist Jobs in Texas: Frequently Asked Questions
How do you become a ai research scientist in Texas?
Most Texas employers require at least a Master's degree, and the majority of senior roles expect a PhD in computer science, artificial intelligence, statistics, or a related discipline. There is no state-issued license for this role in Texas. Candidates typically build a record of published or applied research, contribute to open-source projects, and develop proficiency in Python and leading deep learning frameworks before applying to research positions at Texas universities, tech companies, or large enterprise employers.
How much do AI research scientists make in Texas?
AI research scientists 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 research scientists in Texas?
Employers hiring ai research scientists in Texas right now include KPMG, KPMG US, and NVIDIA, based on current listings on Migrate Mate as of June 2026. Texas-based technology headquarters, semiconductor firms, and major academic medical centers are among the most consistent sources of research scientist openings in the state.
Which Texas cities have the most ai research scientist jobs?
Dallas, Austin, and Galveston account for the largest concentration of ai research scientist openings in Texas. Austin's dense cluster of technology company headquarters and research labs drives the highest volume, while Dallas attracts enterprise software and financial technology employers, and Houston's medical center and energy sector are increasingly investing in applied AI research teams.
Are there remote ai research scientist jobs in Texas?
Yes, and more than most fields. About 0% of ai research scientist openings tied to Texas are remote or hybrid as of June 2026, reflecting how much of the core work, model development, literature review, and experimentation, can be completed without an on-site presence. Roles that require access to proprietary hardware clusters or close collaboration with wet-lab or manufacturing teams are more likely to require in-person attendance.
How can I get hired as a ai research scientist in Texas with little or no experience?
The most realistic entry path is through a research internship or graduate research assistantship at a Texas university such as UT Austin, Rice, or Texas A&M, which regularly pipeline candidates into full-time roles at affiliated industry partners. Candidates without a PhD can target research engineer or machine learning engineer titles at Texas technology companies, where strong open-source contributions, a reproducible project portfolio on GitHub, and completion of graduate-level coursework in machine learning create a competitive edge for transitioning into a researcher track.
Where can I find and apply to ai research scientist jobs in Texas?
You can find and apply to ai research scientist jobs in Texas on Migrate Mate, which lists current Texas openings across industries and experience levels. Find roles that fit your background and apply directly to the employers posting them.
See All 6 AI Research Scientist Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find AI Research Scientist Jobs