Machine Learning Research Jobs in Texas
Machine Learning Research jobs in Texas are in strong and growing demand, concentrated in the aerospace, semiconductor, energy tech, and enterprise software sectors, with openings at every level from research associate through principal scientist. Austin, Dallas, and Houston are the leading hiring hubs, anchored by employers like Texas Instruments, Dell Technologies, and MD Anderson Cancer Center, all of which maintain sustained research programs in the state. The most sought-after specialties in Texas include natural language processing, computer vision, and reinforcement learning applied to real-world industrial and clinical systems. Find a role that fits below and apply directly.
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Title: Associate Director of AI/ML Research & Training
Employee Classification: Assoc Dir, Program Management
Campus: University of North Texas - Health Science Center
Division: HSC-Div of Rsrch & Innovation
SubDivision-Department: HSC-Health Institutes & Centers
Department: HSC-Inst for Health Disparities-300220
Job Location: Fort Worth
Salary: 92,940.00 - 111,528.00 Depending on Experience
FTE: 1.000000
Retirement Eligibility: TRS Eligible
About Us - Values Overview
Welcome to the University of North Texas System. The UNT System includes the University of North Texas in Denton and Frisco, the University of North Texas at Dallas and UNT Dallas College of Law, and University of North Texas Health Fort Worth. We are the only university system based exclusively in the robust Dallas-Fort Worth region. We are growing with the North Texas region, employing more than 14,000 employees, educating a record 49,000+ students across our system, and awarding nearly 12,000 degrees each year.
We are one team comprised of individuals who are committed to excellence, curiosity and innovation. We are transforming lives and creating economic opportunity through education. We champion a people-first values-based culture where We Care about each other and those we serve. We believe that we are Better Together because we foster an environment of respect, belonging, and access for all. We demonstrate Courageous Integrity through setting exceptional standards and acting in the best interest of our communities. We are encouraged to Be Curious about opportunities for learning, creating, discovering, and innovating, and are encouraged to learn from failure. Show Your Fire by joining our team and exhibiting your passion and pride in your work as part of our UNT System team.
Learn more about the UNT System and how we live our values at www.UNTSystem.edu.
Department Summary
The Institute for Health Disparities (IHD) conducts research, training and community outreach in the areas of minority health, health disparities and workforce variety. Constituting the IHD are the Texas Center for Health Disparities, National Research Mentoring Network, Texas CEAL Consortium, Training Programs, AIM-AHEAD and the NIMHD Endowment.
Position Overview
The Associate Director, AI/ML Research and Training, provides leadership in advancing artificial intelligence and machine learning research and training initiatives within IHD. The role supports interdisciplinary research, develops training programs, and contributes to extramural funding efforts to enhance institutional research capacity and impact.
Minimum Qualifications
Bachelor's degree and a minimum of six (6) years of related experience; or any equivalent combination of education and experience.
Knowledge, Skills and Abilities
- Advanced knowledge of AI/ML methodologies and applications in health research
- Strong analytical, research design, and problem-solving skills
- Experience with grant writing and extramural funding processes
- Ability to lead interdisciplinary teams and training programs
- Strong communication and collaboration skills across technical and non-technical stakeholders
- Knowledge of data governance, reproducibility, and responsible AI practices
Preferred Qualifications
- Doctoral degree (PhD, ScD, DrPH, or equivalent) in data science, computer science, biostatistics, biomedical informatics, or a related field with significant AI/ML focus.
- Must be able to demonstrate experience applying AI/ML methods in biomedical, clinical, or public health research.
- Experience with grant development and interdisciplinary collaboration required.
Job Duties
- Lead and support AI/ML research initiatives across clinical, translational, and population health domains.
- Collaborate with faculty to integrate AI/ML methodologies into research projects.
- Contribute to study design, analytic strategies, model development, and validation.
- Develop and oversee AI/ML training programs for faculty, fellows, and students.
- Support development of grant proposals, including NIH and other federal funding opportunities.
- Contribute to scholarly publications, presentations, and dissemination of research findings.
- Facilitate collaborations across departments and with external partners.
- Promote best practices in data stewardship, reproducibility, and responsible AI.
Physical Requirements
- Communicating with others to exchange information.
Environmental Hazards
- No adverse environmental conditions expected.
Work Schedule
Monday-Friday, 8:00am-5:00pm
Driving University Vehicle
No
Security Sensitive
This is a Security Sensitive Position.
Special Instructions
Applicants must submit a minimum of two professional references as part of their application. If needed, additional references can be added after the application has been submitted.
Benefits
For information regarding our Benefits, click here.
The University of North Texas System is firmly committed to equal opportunity and does not permit –and takes actions to prevent – discrimination, harassment (including sexual violence, domestic violence, dating violence and stalking), and retaliation on the basis of race, color, religion, national origin, sex, age, disability, genetic information, or veteran status in its application, employment practices, and facilities; nor permits race, color, national origin, religion, age, disability, veteran status, or sex discrimination and harassment in its admissions processes, and educational programs and activities. UNT System Administration promptly investigates complaints of discrimination, harassment, and related retaliation and takes remedial action when appropriate. System Administration also takes actions to prevent retaliation against individuals who oppose any form of harassment or discriminatory practice, file a charge or report, or testify, assist, or participate in a related investigation or proceeding.
Title: Associate Director of AI/ML Research & Training
Employee Classification: Assoc Dir, Program Management
Campus: University of North Texas - Health Science Center
Division: HSC-Div of Rsrch & Innovation
SubDivision-Department: HSC-Health Institutes & Centers
Department: HSC-Inst for Health Disparities-300220
Job Location: Fort Worth
Salary: 92,940.00 - 111,528.00 Depending on Experience
FTE: 1.000000
Retirement Eligibility: TRS Eligible
About Us - Values Overview
Welcome to the University of North Texas System. The UNT System includes the University of North Texas in Denton and Frisco, the University of North Texas at Dallas and UNT Dallas College of Law, and University of North Texas Health Fort Worth. We are the only university system based exclusively in the robust Dallas-Fort Worth region. We are growing with the North Texas region, employing more than 14,000 employees, educating a record 49,000+ students across our system, and awarding nearly 12,000 degrees each year.
We are one team comprised of individuals who are committed to excellence, curiosity and innovation. We are transforming lives and creating economic opportunity through education. We champion a people-first values-based culture where We Care about each other and those we serve. We believe that we are Better Together because we foster an environment of respect, belonging, and access for all. We demonstrate Courageous Integrity through setting exceptional standards and acting in the best interest of our communities. We are encouraged to Be Curious about opportunities for learning, creating, discovering, and innovating, and are encouraged to learn from failure. Show Your Fire by joining our team and exhibiting your passion and pride in your work as part of our UNT System team.
Learn more about the UNT System and how we live our values at www.UNTSystem.edu.
Department Summary
The Institute for Health Disparities (IHD) conducts research, training and community outreach in the areas of minority health, health disparities and workforce variety. Constituting the IHD are the Texas Center for Health Disparities, National Research Mentoring Network, Texas CEAL Consortium, Training Programs, AIM-AHEAD and the NIMHD Endowment.
Position Overview
The Associate Director, AI/ML Research and Training, provides leadership in advancing artificial intelligence and machine learning research and training initiatives within IHD. The role supports interdisciplinary research, develops training programs, and contributes to extramural funding efforts to enhance institutional research capacity and impact.
Minimum Qualifications
Bachelor's degree and a minimum of six (6) years of related experience; or any equivalent combination of education and experience.
Knowledge, Skills and Abilities
- Advanced knowledge of AI/ML methodologies and applications in health research
- Strong analytical, research design, and problem-solving skills
- Experience with grant writing and extramural funding processes
- Ability to lead interdisciplinary teams and training programs
- Strong communication and collaboration skills across technical and non-technical stakeholders
- Knowledge of data governance, reproducibility, and responsible AI practices
Preferred Qualifications
- Doctoral degree (PhD, ScD, DrPH, or equivalent) in data science, computer science, biostatistics, biomedical informatics, or a related field with significant AI/ML focus.
- Must be able to demonstrate experience applying AI/ML methods in biomedical, clinical, or public health research.
- Experience with grant development and interdisciplinary collaboration required.
Job Duties
- Lead and support AI/ML research initiatives across clinical, translational, and population health domains.
- Collaborate with faculty to integrate AI/ML methodologies into research projects.
- Contribute to study design, analytic strategies, model development, and validation.
- Develop and oversee AI/ML training programs for faculty, fellows, and students.
- Support development of grant proposals, including NIH and other federal funding opportunities.
- Contribute to scholarly publications, presentations, and dissemination of research findings.
- Facilitate collaborations across departments and with external partners.
- Promote best practices in data stewardship, reproducibility, and responsible AI.
Physical Requirements
- Communicating with others to exchange information.
Environmental Hazards
- No adverse environmental conditions expected.
Work Schedule
Monday-Friday, 8:00am-5:00pm
Driving University Vehicle
No
Security Sensitive
This is a Security Sensitive Position.
Special Instructions
Applicants must submit a minimum of two professional references as part of their application. If needed, additional references can be added after the application has been submitted.
Benefits
For information regarding our Benefits, click here.
The University of North Texas System is firmly committed to equal opportunity and does not permit –and takes actions to prevent – discrimination, harassment (including sexual violence, domestic violence, dating violence and stalking), and retaliation on the basis of race, color, religion, national origin, sex, age, disability, genetic information, or veteran status in its application, employment practices, and facilities; nor permits race, color, national origin, religion, age, disability, veteran status, or sex discrimination and harassment in its admissions processes, and educational programs and activities. UNT System Administration promptly investigates complaints of discrimination, harassment, and related retaliation and takes remedial action when appropriate. System Administration also takes actions to prevent retaliation against individuals who oppose any form of harassment or discriminatory practice, file a charge or report, or testify, assist, or participate in a related investigation or proceeding.
See All 7 Machine Learning Research Jobs in Texas
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Find JobsMachine Learning Research Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
Machine Learning Research Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
- Arm1
- KPMG1
- KPMG US1
- Southern Methodist University1
- The University Of Texas At Austin1
Top Industries Hiring
- Education3
- Accounting & Auditing2
- Consulting & Professional Services1
- Electronics & Hardware1
- Technology & Software1
What Texas Employers Look For
The qualifications that appear most often in machine learning research jobs across Texas.
- Master's or PhD in machine learning, computer science, statistics, or a closely related field
- Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow
- Experience designing and evaluating models on large-scale structured or unstructured datasets
- Familiarity with MLOps practices including model deployment, versioning, and monitoring pipelines
- Strong publication record or portfolio of applied research projects demonstrating independent contribution
- Ability to collaborate with cross-functional engineering and product teams on research-to-production handoffs
Machine Learning Research Jobs in Texas: Frequently Asked Questions
How do you become a machine learning research in Texas?
Most machine learning research roles in Texas require at least a master's degree in computer science, statistics, or a related quantitative field, with many senior positions expecting a PhD. Texas does not issue a state license for this role, so hiring decisions hinge on a strong technical portfolio, peer-reviewed work, or demonstrated project outcomes. Large Texas employers in semiconductor, health technology, and defense typically recruit directly from graduate programs at UT Austin, Texas A&M, and Rice University.
Which companies hire machine learning researchs in Texas?
Employers hiring machine learning researchs in Texas right now include Arm, KPMG, and KPMG US, based on current listings on Migrate Mate as of June 2026. Texas's concentration of semiconductor firms, defense contractors, and academic medical centers means research roles here frequently sit at the intersection of applied science and production-scale systems.
Which Texas cities have the most machine learning research jobs?
Austin, Dallas, and Fort Worth hold the most machine learning research openings in Texas. Austin's dense cluster of enterprise software and semiconductor companies drives the largest share of postings, while Dallas benefits from corporate headquarters in financial technology and telecom, and Houston's energy and medical research institutions sustain consistent demand for applied ML talent across both industry and academic settings.
Are there remote machine learning research jobs in Texas?
Yes, and more than most fields. About 14% of machine learning research openings tied to Texas are remote or hybrid as of June 2026, reflecting the fundamentally desk-based and computationally driven nature of the work. Research tasks involving literature review, model development, and experimentation on cloud infrastructure are the most commonly offered in fully remote arrangements, while roles requiring lab hardware or on-site collaboration with product teams tend to be hybrid.
How can I get hired as a machine learning research in Texas with little or no experience?
The most realistic entry path is a research internship or fellowship tied to a Texas-based university lab or industry partner, which several large Texas employers run specifically for candidates still completing graduate degrees. Texas Instruments, Dell, and MD Anderson Cancer Center each offer structured programs that bridge academic training and production research. Candidates with a strong GitHub portfolio demonstrating reproducible experiments, or adjacent roles in data science and software engineering, consistently advance into research positions without prior industry research titles.
Where can I find and apply to machine learning research jobs in Texas?
You can find and apply to machine learning research 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 without creating an account or going through a third-party process.
See All 7 Machine Learning Research Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
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