Texas is becoming a critical center for machine learning demand. Cloud providers, hyperscale data centers, and AI startups are expanding across Austin, Dallas-Fort Worth, San Antonio, and Houston.
- AI-related job postings in Texas state are among the fastest-growing in the U.S.
- Austin and Dallas lead growth in ML engineering roles.
- Massive infrastructure investments—such as the $500 billion Stargate data‑center initiative and hyperscale campuses by Google, Microsoft, and AWS are creating thousands of high-skill positions.
In Houston, ML and AI engineer salaries are reaching up to $170K, and Houston’s tech job market is growing 40% faster than the rest of Texas.
Despite rapid expansion, data-center power and water demands are straining infrastructure, highlighting an urgent need for ML professionals skilled in optimization, resource-efficient AI deployment, MLOps, and edge computing.
A master’s degree in machine learning equips graduates with these essential competencies, enabling Texas residents to help meet the state’s technical and infrastructure challenges while accessing high demand, well-compensated roles in its booming AI economy.
2026 Best Schools for Machine Learning Masters in Texas
Rice University
Houston, TX - Private 4-year - rice.edu
Master's - Master of Data Science (Machine Learning)
Online Learning - Visit Website
Rice University's online Master of Data Science with a Machine Learning concentration provides cutting-edge AI and data analysis skills. The curriculum includes statistical machine learning, natural language processing, and deep learning, preparing graduates for high-demand tech careers in Houston's innovation hub. This program focuses on practical applications and does not require an entrance exam, making it ideal for professionals advancing in fields like software engineering and data science.
- Online Master of Data Science
- Specialization in Machine Learning
- Located in Houston, TX
- Covers statistical machine learning
- Includes natural language processing
- Deep learning curriculum
- Prepares for high-demand tech careers
- Focus on practical AI skills
- Ideal for professionals advancing in tech
- Access to real-world applications
Master's - Master of Data Science (Deep Learning)
Online Learning - Visit Website
Rice University offers an online Master of Data Science specializing in Deep Learning, emphasizing AI and machine learning applications. Courses cover statistical machine learning, natural language processing, and deep learning, with access to Houston's industry connections for real-world experience. Graduates are prepared for lucrative careers in tech, and no entrance exam is required for this program.
- Online Master of Data Science
- Specialization in Deep Learning
- Located in Houston, TX
- Focus on AI and machine learning
- Courses include Statistical Machine Learning
- Natural Language Processing course
- Deep Learning curriculum
- Prepares for high-demand careers
- Industry connections in Houston
- Lucrative career opportunities
Master's - Master of Data Science (Natural Language Processing)
Online Learning - Visit Website
Rice University's online Master of Data Science with a Natural Language Processing concentration delivers comprehensive skills in AI, including statistical machine learning and deep learning. Located in Houston, it provides industry access for applications in sectors like healthcare and energy. This program targets data science professionals and does not mandate an entrance exam, offering a pathway to growth in this evolving field.
- Online Master of Data Science
- Specialization in Machine Learning
- Focus on Natural Language Processing
- Located in Houston, TX
- Comprehensive machine learning curriculum
- Prepares for high-demand tech careers
- Access to real-world industry applications
- Covers statistical machine learning
- Includes deep learning topics
- Natural language processing focus
The University of Texas at Dallas
Richardson, TX - Public 4-Year - utdallas.edu
Master's - Master of Science in Computer Science (Artificial intelligence (AI), machine learning and data science)
Campus Based - Visit Website
The University of Texas at Dallas offers a Master of Science in Computer Science with a concentration in Artificial Intelligence (AI), Machine Learning, and Data Science. This campus-based program emphasizes a multidisciplinary approach, integrating theory with practical applications to prepare students for leadership roles in tech industries. Renowned faculty guide students through flexible class schedules, research opportunities, and strong industry connections in Richardson, TX. Admission requires a bachelor's degree with a solid foundation in programming, calculus, and linear algebra, and GRE scores are mandatory for most applicants.
- Concentration in AI, Machine Learning
- Campus-based program
- Flexible class schedules
- Strong industry connections
- Research opportunities available
- Requires GRE scores
- Bachelor's degree prerequisite
- Strong programming foundation needed
- Renowned faculty
- Multidisciplinary approach
The University of Texas at Austin
Austin, TX - Public 4-Year - utexas.edu
Master's - Master's in Artificial Intelligence (Machine Learning, Natural Language Processing, Computer Vision)
Online Learning - Visit Website
The University of Texas at Austin offers an online Master's in Artificial Intelligence with a concentration in Machine Learning, Natural Language Processing, and Computer Vision. This 30-hour program features a comprehensive curriculum covering deep learning, AI ethics, and flexible asynchronous courses, preparing graduates for the high demand in AI jobs. At an affordable tuition of approximately $10,000 plus fees, it requires a bachelor's degree for admission, with no entrance exam specified. Admissions open in December for Fall and June for Spring, taught by world-class faculty.
- 100% online program.
- Focus on Machine Learning.
- Covers Natural Language Processing.
- Includes Computer Vision.
- Affordable $10,000 tuition.
- Flexible asynchronous courses.
- World-class faculty.
- 30-hour program.
- 10 courses to graduate.
- Ethics in AI required.
Texas Wesleyan University
Fort Worth, TX - Private 4-year - txwes.edu
Master's - Master of Computer Science (Machine Learning)
Online Learning - Visit Website
Texas Wesleyan University's Master of Computer Science with a Machine Learning concentration is a fully online program tailored for career advancement in this dynamic field. It offers flexible 12- or 18-month degree plans with 7-week sessions, ideal for working professionals. The curriculum covers foundational and advanced topics, including computer architecture, security principles, and machine learning, emphasizing practical skills for the evolving tech industry. Admission requires a bachelor's degree in a related field; no entrance exam is specified in the provided data.
- Fully online program.
- 12- or 18-month plans.
- 7-week sessions.
- Machine Learning concentration.
- Flexible for working professionals.
- Covers foundational and advanced topics.
- Prepares for evolving tech landscape.
- Practical skills and knowledge focus.
- Bachelor's degree required for admission.
University of Houston-Downtown
Houston, TX - Public 4-Year - uhd.edu
Master's - Master of Science in Artificial Intelligence (Data Mining, Deep Learning, Natural Language Processing)
Online & Campus Based - Visit Website
The University of Houston-Downtown's Master of Science in Artificial Intelligence is a 30-credit hybrid program emphasizing concentrations in Data Mining, Deep Learning, and Natural Language Processing. It requires a bachelor's degree, a 3.0 GPA in the last 60 credit hours, and foundational programming and math courses. The program integrates hands-on training with Python and TensorFlow, offering a mix of online and face-to-face evening classes. Admission does not require an entrance exam, focusing instead on academic prerequisites for this top-ranked AI program.
- 30 credit-hour program
- Hybrid learning format
- Concentrations available
- Strong programming focus
- Hands-on AI training
- Python and TensorFlow
- GPA 3.0 requirement
- Foundational courses needed
- Evening face-to-face courses
The University of Texas at San Antonio
San Antonio, TX - Public 4-Year - utsa.edu
Master's - Master's Degree in Artificial Intelligence (Analytics, Computer Science, Intelligent and Autonomous Systems)
Campus Based - Visit Website
The University of Texas at San Antonio's Master's Degree in Artificial Intelligence specializes in Analytics, Computer Science, and Intelligent and Autonomous Systems, offering a multidisciplinary curriculum that integrates computer science, mathematics, and engineering. This campus-based program includes thesis and non-thesis options, catering to both research and industry-focused students, with hands-on learning for careers in autonomous vehicles and robotics. Admission requires a bachelor's degree with a minimum 3.0 GPA, transcripts, and English proficiency for international students; an entrance exam is not specified as required.
- Multidisciplinary AI training
- Specializations in three tracks
- Thesis and non-thesis options
- Minimum GPA of 3.0 required
- English proficiency for international students
- Hands-on learning opportunities
- Research-oriented curriculum
- Prepares for high-demand careers
- Campus-based program
- Admission requires bachelor's degree
University of the Incarnate Word
San Antonio, TX - Private 4-year - uiw.edu
Master's - Master of Science in Data Analytics
Online Learning - Visit Website
The University of the Incarnate Word offers a Master of Science in Data Analytics, a 30-credit-hour online program that prepares students for analytics roles without requiring the GRE. It emphasizes data collection, analysis, and interpretation, with a strong focus on ethical practices and strategic decision-making. The curriculum includes courses in quantitative methods, data management, and machine learning, using industry-standard software. This flexible program is ideal for working professionals and leads to high-demand careers in various sectors.
- 30-credit-hour degree
- Online program
- No GRE required
- Focus on data ethics
- Industry-standard software training
- Strategic decision-making emphasis
- Flexible for working professionals
- High-demand career preparation
- Courses in machine learning
- Data management skills
Tarleton State University
Stephenville, TX - Public 4-Year - tarleton.edu
Master's - Master of Science in Artificial Intelligence and Machine Learning
Online Learning - Visit Website
Tarleton State University's Master of Science in Artificial Intelligence and Machine Learning is offered online or on-campus in Stephenville, with thesis and non-thesis options. It requires a Bachelor's degree in a related field with a minimum 3.0 GPA and does not mandate an entrance exam. The program emphasizes research-based projects, allowing specializations in areas like robotics and deep neural networks, blending theory with practical applications to prepare graduates for high-demand AI careers.
- Online and campus options.
- Thesis and non-thesis tracks.
- Requires Bachelor's in related field.
- 3.0 GPA minimum.
- Research-based projects.
- Specializations available.
- Prepares for AI careers.
- Blends theory and practice.
Texas A & M University-Kingsville
Kingsville, TX - Public 4-Year - tamuk.edu
Master's - Master of Science in Computer Science (Artificial Intelligence and Deep Learning, Data Science, Cybersecurity)
Campus Based - Visit Website
Texas A&M University-Kingsville's Master of Science in Computer Science features concentrations in Artificial Intelligence and Deep Learning, Data Science, and Cybersecurity, accredited by SACS. This program offers thesis, research project, or course-only options, with core courses in advanced computer architecture and database management. It is open to students from diverse undergraduate backgrounds, providing foundational courses as needed. The program emphasizes preparation for high-demand tech careers and further doctoral studies, focusing on practical skills in cutting-edge areas. An entrance exam such as the GRE may be required for admission, though specific requirements should be verified with the university.
- Accredited by SACS.
- Three degree options available.
- Concentrations in AI, Data Science, Cybersecurity.
- Core courses in advanced topics.
- Open to non-CS undergraduates.
- Thesis, project, or course-only paths.
- Focus on current tech demands.
- Prepares for industry or doctoral studies.
- Includes foundational courses for gaps.
- Specializations in high-demand areas.
The University of Texas at El Paso
El Paso, TX - Public 4-Year - utep.edu
Master's - M.S. Artificial Intelligence (Machine Learning, Deep Learning, Decision Making)
Campus Based - Visit Website
The University of Texas at El Paso offers an M.S. in Artificial Intelligence with concentrations in Machine Learning, Deep Learning, and Decision Making, providing a comprehensive 30-credit curriculum that blends theory with hands-on experience. This campus-based program includes options for a thesis or practicum, preparing students for real-world AI challenges through courses in programming, data structures, and statistics. Admission requires a Baccalaureate degree and English proficiency for non-native speakers, with the GRE being optional. Emphasizing research opportunities and expert faculty guidance, it equips graduates for advanced roles in the tech industry.
- 30 credit program
- Machine Learning focus
- Deep Learning focus
- Decision Making focus
- Thesis or practicum option
- GRE optional
- English proficiency required
- Baccalaureate degree needed
- Programming knowledge required
- Data structures knowledge
North American University
Stafford, TX - Private 4-year - na.edu
Master's - Master of Science in Computer Science (Machine Learning)
Online Learning - Visit Website
North American University's online Master of Science in Computer Science with a Machine Learning concentration prepares students for tech industry success. The curriculum delves into advanced algorithms, cloud computing, and data mining, emphasizing machine learning and data analysis. Admission requires a bachelor's degree, official transcripts, and English proficiency for international applicants; no entrance exam is specified. This flexible program can be completed in 16 months, ideal for working professionals. It is military-friendly, offering 30 credit hours of focused, practical education.
- Online program
- Concentration in Machine Learning
- Complete in 16 months
- 30 credit hours required
- Advanced algorithms covered
- Focus on cloud computing
- Data mining included
- Flexible for professionals
- Bachelor's degree required
- English proficiency needed
2026 Lowest Priced Masters in Machine Learning Programs in TX
| School Name | Highlights | Annual Estimated Tuition & Fees |
|---|---|---|
| The University of Texas at Austin |
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| Texas A & M University-Kingsville |
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| Texas Wesleyan University |
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List of Online Masters in Machine Learning Offerings in Texas
Austin, TX
The University of Texas at Austin
- Master's - Master's in Artificial Intelligence
Concentration: Machine Learning, Natural Language Processing, Computer Vision - Online Learning - Website
- 100% online program.
- Focus on Machine Learning.
- Covers Natural Language Processing.
- Includes Computer Vision.
- Affordable $10,000 tuition.
- Flexible asynchronous courses.
- World-class faculty.
- 30-hour program.
Fort Worth, TX
Texas Wesleyan University
- Master's - Master of Computer Science
Concentration: Machine Learning - Online Learning - Website
- Fully online program.
- 12- or 18-month plans.
- 7-week sessions.
- Machine Learning concentration.
- Flexible for working professionals.
- Covers foundational and advanced topics.
- Prepares for evolving tech landscape.
- Practical skills and knowledge focus.
Houston, TX
Rice University
- Master's - Master of Data Science
Concentration: Deep Learning - Online Learning - Website
- Online Master of Data Science
- Specialization in Deep Learning
- Located in Houston, TX
- Focus on AI and machine learning
- Courses include Statistical Machine Learning
- Natural Language Processing course
- Deep Learning curriculum
- Prepares for high-demand careers
- Master's - Master of Data Science
Concentration: Machine Learning - Online Learning - Website
- Online Master of Data Science
- Specialization in Machine Learning
- Located in Houston, TX
- Covers statistical machine learning
- Includes natural language processing
- Deep learning curriculum
- Prepares for high-demand tech careers
- Focus on practical AI skills
- Master's - Master of Data Science
Concentration: Natural Language Processing - Online Learning - Website
- Online Master of Data Science
- Specialization in Machine Learning
- Focus on Natural Language Processing
- Located in Houston, TX
- Comprehensive machine learning curriculum
- Prepares for high-demand tech careers
- Access to real-world industry applications
- Covers statistical machine learning
University of Houston-Downtown
- Master's - Master of Science in Artificial Intelligence
Concentration: Data Mining, Deep Learning, Natural Language Processing - Online & Campus Based - Website
- 30 credit-hour program
- Hybrid learning format
- Concentrations available
- Strong programming focus
- Hands-on AI training
- Python and TensorFlow
- GPA 3.0 requirement
- Foundational courses needed
San Antonio, TX
University of the Incarnate Word
- Master's - Master of Science in Data Analytics
Online Learning - Website
- 30-credit-hour degree
- Online program
- No GRE required
- Focus on data ethics
- Industry-standard software training
- Strategic decision-making emphasis
- Flexible for working professionals
- High-demand career preparation
Stafford, TX
North American University
- Master's - Master of Science in Computer Science
Concentration: Machine Learning - Online Learning - Website
- Online program
- Concentration in Machine Learning
- Complete in 16 months
- 30 credit hours required
- Advanced algorithms covered
- Focus on cloud computing
- Data mining included
- Flexible for professionals
Stephenville, TX
Tarleton State University
- Master's - Master of Science in Artificial Intelligence and Machine Learning
Online Learning - Website
- Online and campus options.
- Thesis and non-thesis tracks.
- Requires Bachelor's in related field.
- 3.0 GPA minimum.
- Research-based projects.
- Specializations available.
- Prepares for AI careers.
- Blends theory and practice.
How to Choose the Right School for You
This comprehensive analysis of 11 Texas programs examines the state’s diverse offerings in machine learning education, from prestigious research universities to flexible online programs, helping you navigate the unique advantages of studying AI in the Lone Star State.
Key Decision Factors
Program Format & Geographic Advantages
- Austin: UT Austin offers world-class online AI program with tech industry connections
- Houston: Rice University and UH-Downtown provide energy/healthcare industry exposure
- Dallas: UT Dallas campus-based program with strong tech corridor partnerships
- San Antonio: UTSA and UIW serve growing cybersecurity and defense sectors
- Statewide Online: Multiple programs serve working professionals across Texas
Specialization Depth & Focus
- Comprehensive AI: UT Austin, UTSA, UH-Downtown cover ML, NLP, and computer vision
- Pure Machine Learning: Rice, Texas Wesleyan, North American focus specifically on ML
- Data Analytics Integration: UIW emphasizes business applications and ethics
- Autonomous Systems: UTSA uniquely offers intelligent and autonomous systems track
Cost Analysis
Most Affordable Texas Options
- Texas A&M Kingsville: $4,900-$7,400 (in-state), $11,600-$17,500 (out-of-state)
- UT El Paso: $5,700-$8,600 (in-state), $13,300-$19,900 (out-of-state)
- UT Austin: $9,600-$14,400 (in-state), $18,400-$27,500 (out-of-state)
Mid-Range Public Options
- UT Dallas: Campus-based with strong industry connections
- UTSA: Multidisciplinary approach with thesis options
- UH-Downtown: Hybrid format with evening classes
Private Institution Pricing
- Texas Wesleyan: $15,500-$23,300 (competitive private pricing)
- Rice University: Premium Houston institution (pricing not specified)
- UIW, NAU: Private options with flexible online formats
Program Structure & Requirements
Credit Hours & Completion Time
- Standard: Most programs require 30 credit hours
- Accelerated Options: Texas Wesleyan (12-18 months), North American (16 months)
- Flexible Pacing: Multiple session formats and part-time options
- Research Tracks: UTSA, UT El Paso, Texas A&M offer thesis options
Prerequisites & Admissions
- No Standardized Tests: UT Austin, UIW eliminate GRE requirements
- Optional GRE: UT El Paso reduces admission barriers
- GPA Requirements: Most require 3.0 minimum
- Background Flexibility: Several programs accept non-CS undergraduates
Texas-Specific Industry Advantages
Energy Sector Applications
- Houston Programs: Rice and UH-Downtown provide direct access to energy industry ML applications
- Oil & Gas Analytics: Predictive maintenance, exploration data analysis, supply chain optimization
- Renewable Energy: Wind and solar forecasting, grid optimization
Healthcare & Life Sciences
- Medical Center Connections: Houston’s medical center offers unique opportunities
- Biomedical AI: Drug discovery, medical imaging, patient outcome prediction
- Public Health: Epidemiological modeling, health informatics
Defense & Cybersecurity
- San Antonio Military Presence: UTSA programs benefit from defense contractor connections
- Cybersecurity Integration: Several programs combine ML with security applications
- Government Contracting: Opportunities with federal agencies and defense contractors
Decision Framework
For Tech Industry Careers
Top Choice: UT Austin
- Comprehensive online AI program covering ML, NLP, computer vision
- Affordable tuition ($10,000 total) with world-class faculty
- Ethics requirement addresses industry concerns
- Austin tech corridor provides internship and job opportunities
For Energy Industry Applications
Top Choice: Rice University or UH-Downtown
- Rice: Premium education in Houston’s energy capital
- UH-Downtown: Affordable hybrid option with evening classes
- Both provide direct access to energy sector ML applications
- Houston’s innovation ecosystem offers networking opportunities
For Budget-Conscious Students
Top Choice: Texas A&M Kingsville
- Lowest tuition in Texas ($4,900-$7,400 in-state)
- SACS accreditation ensures quality
- Multiple completion options (thesis, project, coursework)
- Open to non-CS backgrounds with bridge courses
For Working Professionals
Top Choice: Texas Wesleyan University
- Fully online with 12-18 month completion options
- 7-week accelerated sessions
- Machine learning concentration focus
- Flexible scheduling for busy professionals
Technology Focus & Industry Applications
Core Texas Industry Applications
- Oil & Gas: Seismic data analysis, reservoir modeling, predictive maintenance
- Agriculture: Precision farming, crop yield prediction, livestock monitoring
- Transportation: Autonomous vehicles, traffic optimization, logistics
- Finance: Algorithmic trading, fraud detection, risk assessment
- Aerospace: Satellite data analysis, flight optimization, predictive maintenance
Emerging Texas Tech Sectors
- Fintech: Austin and Dallas financial technology applications
- Healthtech: Houston medical center innovations
- Agtech: Agricultural technology and precision farming
- Cleantech: Renewable energy and environmental monitoring
Red Flags to Avoid
- Programs without industry connections in target sectors
- Lack of hands-on experience with real Texas industry datasets
- Faculty without recent experience in Texas tech ecosystem
- Missing coverage of ethical AI considerations
- No preparation for Texas-specific industry certifications
- Theoretical-only approach without practical implementation
Unique Texas Program Advantages
UT Austin
- Global reputation with affordable Texas resident tuition
- Comprehensive AI curriculum with ethics integration
- Online format serves students statewide
- Strong alumni network in Texas tech companies
Rice University
- Premium education in Houston innovation district
- Deep learning specialization with energy sector applications
- Access to medical center and energy industry partnerships
- High-caliber faculty and research opportunities
Texas A&M Kingsville
- Most affordable quality option in Texas
- Flexible degree completion paths
- SACS accreditation with strong regional reputation
- Support for career changers with foundational courses
UT Dallas
- Campus-based program in major tech corridor
- Strong industry partnerships and internship opportunities
- Research opportunities with renowned faculty
- Flexible scheduling for working professionals
Final Recommendation
For Maximum Value: Choose Texas A&M Kingsville for quality education at the lowest cost.
For Industry Prestige: UT Austin provides world-class education with strong ROI.
For Energy Sector: Rice University or UH-Downtown offer Houston industry advantages.
For Maximum Flexibility: Texas Wesleyan provides accelerated online completion options.
Texas offers unique advantages for machine learning education, including affordable tuition, diverse industry applications, and strong job markets. The state’s growing tech ecosystem, combined with traditional strengths in energy and healthcare, creates exceptional opportunities for ML graduates. Consider your target industry, budget constraints, and learning preferences when selecting from Texas’s diverse program offerings.
How is the Local Job Market for Machine Learning Engineers?
Here is a look at the state of the machine learning engineering job market in the Lone Star state based on a recent review of major jobs search engines.
TLDR
Master’s Degree Impact in Texas:
- Significant salary premium: Advanced degrees command notably higher compensation, with companies like ARM requiring Master’s/PhD for $241,100-$326,100 roles
- Accelerated progression: UnitedHealth Group requires Master’s + 3+ years vs longer experience requirements for Bachelor’s holders
- Specialized access: PhD holders can access the highest-paying research positions at ARM, Qualcomm, and academic institutions
Texas Salary Highlights:
- Highest paying: ARM leads at $241,100-$326,100 for principal ML roles, followed by Qualcomm at $211,200-$316,800
- Geographic advantages: Austin commands premium tech salaries while Houston offers specialized energy sector opportunities
- Cost of living benefit: No state income tax and lower living costs compared to California tech hubs
Key Findings:
- Diverse industry presence: From semiconductor (ARM, Qualcomm, AMD) to finance (Capital One, JPMorgan, Visa) to emerging sectors (automotive, energy, space)
- Strong remote/hybrid options: Many positions offer flexible work arrangements, especially post-COVID
- Specialized technical demands: Heavy emphasis on PyTorch/TensorFlow, cloud platforms (AWS), and emerging GenAI/LLM technologies
Cross-disciplinary opportunities are particularly strong in Texas, spanning finance-tech convergence, hardware-software integration, automotive-AI applications, and unique energy sector ML applications. The state’s combination of major tech companies, financial services, and traditional industries creates a robust ecosystem for ML engineering careers.
Financial Services & Enterprise Technology
Banking & FinTech Leadership
Primary Employers: Capital One (Longview, Plano, Lewisville), JPMorgan Chase (Houston), Visa (Austin)
- Capital One: Senior Machine Learning Engineer positions across multiple Texas locations ($144,200-$197,400 depending on location and seniority)
- JPMorgan Chase: Machine Learning Software Engineer-Senior Associate focusing on AI/ML/LLM/GenAI solutions (salary not disclosed, 3+ years experience required)
- Visa: Senior Machine Learning Engineer for GenAI Platform development ($116,500-$164,500, Austin-based with hybrid work)
Semiconductor & Hardware Innovation
Primary Employers: ARM (Austin), Qualcomm (Austin), AMD (Austin)
- ARM: Principal Machine Learning Engineer specializing in ML algorithm development and optimization ($241,100-$326,100, Master’s/PhD required)
- Qualcomm: Machine Learning Compiler/Firmware Engineer for Neural Signal Processor ($211,200-$316,800, hybrid arrangements available)
- AMD: Lead GPU Machine Learning Solutions Engineer for AI Software Solutions (salary not disclosed, 4+ years post-college experience required)
Cloud Computing & Enterprise Platforms
Major Cloud Providers
Primary Employers: Amazon Web Services (Austin), UnitedHealth Group (Austin), Micron Technology (Richardson)
- Amazon AWS: Machine Learning Engineer for Gen AI Innovation Center ($129,300-$223,600, full-stack development required)
- UnitedHealth Group: AI/ML Engineer with remote flexibility ($71,200-$127,200, Master’s degree + 3+ years DL frameworks experience)
- Micron Technology: Machine Learning Engineer for scalable memory systems (salary not disclosed, PhD or Master’s + 5 years experience)
Automotive & Manufacturing Technology
Connected Vehicle Innovation
Primary Employers: Toyota Connected North America (Plano), 7-Eleven (Irving), Intuit (Plano)
- Toyota Connected: Machine Learning Engineer specializing in NLP and voice/text processing ($50,000-$100,000, hybrid Plano location)
- 7-Eleven: Staff Machine Learning Engineer for Personalization AI (salary not disclosed, 6+ years experience with 2-3 years senior role)
- Intuit: Staff Machine Learning Engineer for AI-powered experiences ($197,000-$266,500 Bay Area equivalent pricing)
Real Estate & Consumer Technology
PropTech & Search Optimization
Primary Employers: Realtor.com (Austin), InfoVision Inc. (Irving)
- Realtor.com: Multiple levels from Machine Learning Engineer to Staff positions focusing on search ranking and personalization (salary not disclosed, BS/MS preferred)
- InfoVision Inc.: Machine Learning Engineer with XGBoost & SHAP requirements (contractor position, salary not disclosed)
Specialized Industries & Emerging Applications
Energy & Oil/Gas Technology
Primary Employers: Insight Global client (Houston), Cognitive Space (Houston), Scope (Sugar Land)
- Insight Global O&G Client: AI/ML Engineer for enterprise-level AI software development ($70-80/hour, onsite Houston required)
- Cognitive Space: AI/ML Engineer specializing in Reinforcement Learning for satellite operations ($130,000-$170,000, hybrid Houston)
- Scope: Senior Machine Learning Engineer for computer vision in critical rope applications ($175,000-$200,000, startup environment)
Healthcare & Life Sciences
Primary Employers: Tekmetric (Houston), Long View Systems (Dallas)
- Tekmetric: Machine Learning Engineer for NLP and document classification in auto repair industry (salary not disclosed, remote work available)
- Long View Systems: AI Machine Learning Engineer for innovative technologies ($75-80/hour, onsite North Dallas)
Academic & Research Institutions
Primary Employers: University of Texas at Austin (Austin), Rev (Austin)
- UT Austin: R&D Machine Learning Engineer for sonar and underwater acoustics ($88,500-$120,000, security clearance required)
- Rev: Machine Learning Runtime Engineer bridging research and production ASR/LLM systems (salary not disclosed, hybrid/remote options)
Education Requirements & Advanced Degree Impact
Master’s Degree Premium & Pathways
Significant Advantages: Texas employers consistently reward advanced degrees with higher compensation and faster career progression:
- ARM: Master’s/PhD required for $241,100-$326,100 principal role with 3+ years ML algorithm development
- Qualcomm: Master’s preferred with 15+ years experience or PhD for $211,200-$316,800 compiler engineer position
- Visa: Advanced degree preferred for $116,500-$164,500 GenAI platform role with 2+ years experience
- UnitedHealth Group: Master’s required in ML/CS for $71,200-$127,200 remote AI/ML engineer position
PhD Research Advantages
Research-Intensive Positions: PhD holders access highest-compensation specialized roles:
- ARM: PhD + years experience for principal-level ML algorithm development at $241,100-$326,100
- Qualcomm: PhD in CS/EE for advanced Neural Signal Processor development at $211,200-$316,800
- Micron Technology: PhD or Master’s + 5 years for memory systems ML research (competitive salary)
- Cognitive Space: PhD preferred for reinforcement learning in aerospace applications at $130,000-$170,000
Bachelor’s Degree Entry Points
Strong Foundation Opportunities: Bachelor’s degrees sufficient with relevant experience:
- Capital One: Bachelor’s + 4+ years programming for $144,200-$197,400 range across Texas locations
- Toyota Connected: Bachelor’s with 3+ years ML experience for $50,000-$100,000 (competitive benefits package)
- Realtor.com: BS/MS in CS/statistics for search and recommendation systems (salary competitive with market)
Technical Skillset Demands
Programming & Framework Leadership
Core Requirements: Python dominates across all Texas employers, with framework specializations:
- Deep Learning Frameworks: PyTorch/TensorFlow required by ARM, Qualcomm, AMD, Toyota Connected, Tekmetric
- Cloud-Native Development: AWS expertise valued by Amazon, Micron, and multiple financial services employers
- Specialized Languages: C++ critical for ARM, Qualcomm, AMD hardware-focused roles; Scala/Java for Capital One, JPMorgan
Emerging Technology Specializations
High-Demand Areas:
- Generative AI & LLMs: Visa, UnitedHealth Group, JPMorgan Chase emphasizing GPT, fine-tuning, RAG architectures
- Computer Vision: Scope, AMD, Long View Systems requiring deep learning for image/video processing
- NLP & Speech Processing: Rev, Toyota Connected, Tekmetric focusing on text analysis and voice applications
- Reinforcement Learning: Cognitive Space, Amazon specializing in optimization and decision-making systems
Production & Infrastructure Expertise
MLOps & Deployment: Critical across all major Texas employers:
- Containerization: Docker/Kubernetes required by JPMorgan, Amazon, AMD, Visa
- Cloud Platforms: AWS preferred by Amazon, Micron; multi-cloud experience valued by ARM, Qualcomm
- ML Pipelines: Airflow, MLflow, SageMaker experience essential for Capital One, Visa, Realtor.com
Cross-Disciplinary Opportunities
Finance-Technology Convergence
Capital One, JPMorgan Chase, and Visa integrate ML with financial services, requiring understanding of fraud detection, risk assessment, payment processing, and regulatory compliance alongside technical expertise.
Hardware-Software Integration
ARM, Qualcomm, and AMD uniquely combine ML algorithm development with hardware optimization, requiring deep understanding of computer architecture, embedded systems, and performance optimization.
Automotive-AI Integration
Toyota Connected combines automotive industry knowledge with AI/ML, requiring understanding of connected vehicle technologies, voice interfaces, and real-time processing systems.
Energy-AI Applications
Oil & Gas sector through Insight Global client integrates ML with energy operations, requiring domain knowledge of drilling, production optimization, and industrial IoT applications.
Geographic Salary Variations & Market Dynamics
Major Metro Premium Compensation
Austin commands highest salaries as Texas tech hub:
- Amazon AWS: $129,300-$223,600 for full-stack ML engineering
- ARM: $241,100-$326,100 for principal-level algorithm development
- Visa: $116,500-$164,500 for GenAI platform engineering
Houston energy sector offers competitive specialized roles:
- Cognitive Space: $130,000-$170,000 for aerospace ML applications
- Scope: $175,000-$200,000 for computer vision in industrial safety
- Insight Global: $70-80/hour for enterprise AI development
Dallas-Fort Worth provides diverse opportunities:
- Capital One: $144,200-$164,600 for senior ML engineering (Plano)
- Toyota Connected: $50,000-$100,000 plus comprehensive benefits (Plano)
- Intuit: $197,000-$266,500 for staff-level positions (Plano)
Remote Work Flexibility
Hybrid/Remote Options: Many Texas employers offer flexible arrangements:
- UnitedHealth Group: Fully remote within US at $71,200-$127,200
- Rev: Hybrid Austin with 1-2 days onsite or fully remote
- Tekmetric: Remote work available for Houston-based position
Experience Level Progression & Compensation
Entry Level (2-4 years experience)
Starting Range: $71,200-$130,000 for positions requiring Master’s degrees
- UnitedHealth Group: $71,200-$127,200 for AI/ML Engineer with 2+ years GenAI experience
- Cognitive Space: $130,000-$170,000 for RL specialist with 2-5 years experience
- Visa: $116,500-$164,500 for Senior ML Engineer with 2+ years advanced degree
Mid-Level (4-8 years experience)
Standard Range: $144,200-$223,600 for senior individual contributor roles
- Capital One: $144,200-$197,400 for Senior ML Engineer across Texas locations
- Amazon AWS: $129,300-$223,600 for Gen AI Innovation Center engineer
- Scope: $175,000-$200,000 for computer vision specialist
Senior/Principal Level (8+ years experience)
Premium Range: $200,000-$326,100 for leadership and specialized expertise
- ARM: $241,100-$326,100 for Principal ML Engineer with algorithm development
- Qualcomm: $211,200-$316,800 for compiler/firmware engineering leadership
- Intuit: $197,000-$266,500 for Staff ML Engineer with AI platform responsibility
Industry-Specific Advantages
Semiconductor Leadership Premium
ARM and Qualcomm offer the highest compensation ($200K+) for specialized hardware-ML integration, reflecting the high value placed on experts who can optimize ML algorithms for specific processor architectures.
Financial Services Stability
Capital One, JPMorgan Chase, and Visa provide comprehensive benefits packages, career progression paths, and the stability of established financial institutions while working on cutting-edge AI applications.
Startup Equity Opportunities
Cognitive Space, Scope, and Rev offer equity participation and rapid career advancement in emerging technology sectors with strong growth potential and innovative applications.
Energy Sector Specialization
Houston’s oil & gas industry provides unique opportunities to apply ML to industrial operations, offering competitive hourly rates ($70-80/hour) and exposure to large-scale operational challenges.
Benefits & Total Compensation Packages
Comprehensive Benefits Leaders
Major Corporations offer extensive benefits beyond base salary:
- Toyota Connected: Unlimited PTO, $2,500 annual training budget, $1,000 home office stipend, vehicle allowances
- Capital One: Performance bonuses, comprehensive health coverage, 401(k) matching, equity participation
- ARM: Stock purchase plans, competitive bonus structures, global career opportunities
Startup Perks & Flexibility
Emerging Companies emphasize work-life balance and growth:
- Cognitive Space: Flexible PTO, startup equity, cost-effective healthcare with company contributions
- Tekmetric: 100% employer-paid medical plans, mental health support through BetterHelp, $60/month wellness stipends
Texas’s machine learning engineering market offers exceptional diversity from semiconductor giants and financial services leaders to innovative startups and energy sector pioneers. The state’s combination of no state income tax, lower cost of living compared to California, and rapidly growing tech ecosystem creates compelling opportunities for ML engineers at all career stages, with Master’s and PhD degrees providing clear pathways to premium compensation and specialized roles in cutting-edge applications.