AI ML Engineering Jobs in Texas
AI ML Engineering jobs in Texas are among the most actively recruited technology roles in the state, concentrated in enterprise software, semiconductors, aerospace and defense, and financial technology, with openings at every level from junior data scientist to principal machine learning engineer. Austin, Dallas-Fort Worth, and Houston lead hiring volume, anchored by employers like Dell Technologies, Texas Instruments, and JPMorgan Chase, which maintain large engineering operations across the state. The most in-demand specialties are large language model development, computer vision, and MLOps infrastructure. Find a role that fits below and apply directly.
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Description
The Artie McFerrin Department of Chemical Engineering, College of Engineering at Texas A&M University invites applications for a full-time, tenure-track, assistant professor position with a 9-month academic appointment and the possibility of an additional summer appointment contingent upon need and availability of funds, beginning Fall 2027.
The principal focus for this position is at the intersection of computational data science and Chemical Engineering. We are particularly interested in candidates whose research leverages Artificial Intelligence (AI) and Machine Learning (ML) to advance process systems design, process safety and risk analysis, optimization, characterization, and predictive modeling of materials.
The successful candidate is expected to establish and sustain a nationally recognized, externally funded research program that integrates computational data science with chemical engineering. Areas of emphasis may include, but are not limited to, data-driven process modeling and simulation of complex, large-scale systems; AI-accelerated materials design, including structure-property relationships, self-assembly, and processing optimization; machine learning-driven characterization and stabilization of colloidal systems; physics-informed machine learning; generative models for materials discovery; advanced ML and AI methods for process design, safety and risk analysis, and high-throughput computational screening methodologies addressing fundamental and applied challenges in chemical engineering.
The successful candidate will be expected to conduct original, scholary research; build self-sustaining research programs; teach both graduate and undergraduate courses and mentor students; and contribute an appropriate degree of service to the Department, College, University, and profession.
Candidates must demonstrate a strong commitment to excellence in teaching and mentoring at both undergraduate and graduate levels, as well as active engagement in departmental, college, and professional service. The ideal candidate will articulate a clear vision for integrating experimental, theoretical, and data-driven approaches to solve complex problems at the forefront of chemical engineering research.
Description
The Artie McFerrin Department of Chemical Engineering, College of Engineering at Texas A&M University invites applications for a full-time, tenure-track, assistant professor position with a 9-month academic appointment and the possibility of an additional summer appointment contingent upon need and availability of funds, beginning Fall 2027.
The principal focus for this position is at the intersection of computational data science and Chemical Engineering. We are particularly interested in candidates whose research leverages Artificial Intelligence (AI) and Machine Learning (ML) to advance process systems design, process safety and risk analysis, optimization, characterization, and predictive modeling of materials.
The successful candidate is expected to establish and sustain a nationally recognized, externally funded research program that integrates computational data science with chemical engineering. Areas of emphasis may include, but are not limited to, data-driven process modeling and simulation of complex, large-scale systems; AI-accelerated materials design, including structure-property relationships, self-assembly, and processing optimization; machine learning-driven characterization and stabilization of colloidal systems; physics-informed machine learning; generative models for materials discovery; advanced ML and AI methods for process design, safety and risk analysis, and high-throughput computational screening methodologies addressing fundamental and applied challenges in chemical engineering.
The successful candidate will be expected to conduct original, scholary research; build self-sustaining research programs; teach both graduate and undergraduate courses and mentor students; and contribute an appropriate degree of service to the Department, College, University, and profession.
Candidates must demonstrate a strong commitment to excellence in teaching and mentoring at both undergraduate and graduate levels, as well as active engagement in departmental, college, and professional service. The ideal candidate will articulate a clear vision for integrating experimental, theoretical, and data-driven approaches to solve complex problems at the forefront of chemical engineering research.
See All 22 AI ML Engineering Jobs in Texas
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Find AI ML Engineering JobsAI ML Engineering Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
AI ML Engineering Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Retail
- Banking & Financial Services
- E-Commerce & Online Marketplaces
- Education
What Texas Employers Look For
The qualifications that appear most often in AI ML engineering jobs across Texas.
- Bachelor's or master's degree in computer science, mathematics, or a related engineering field
- Proficiency in Python and machine learning frameworks such as TensorFlow or PyTorch
- Hands-on experience designing, training, and deploying production-grade ML models
- Familiarity with cloud platforms including AWS, Google Cloud, or Microsoft Azure
- Experience with MLOps tooling, model monitoring, and CI/CD pipelines for ML systems
- Strong foundation in statistics, linear algebra, and applied optimization methods
AI ML Engineering Jobs in Texas: Frequently Asked Questions
How do you become a ai ml engineering in Texas?
The most direct path is a bachelor's degree in computer science, electrical engineering, or applied mathematics, followed by hands-on ML project work that builds a demonstrable portfolio. Texas has no state-issued license specific to AI or machine learning engineering. Most Texas employers, particularly in Austin's tech corridor and Dallas-Fort Worth's enterprise sector, screen candidates on portfolio strength, relevant internships, and proficiency with production ML tools rather than a formal certification.
Which companies hire ai ml engineerings in Texas?
Employers hiring ai ml engineerings in Texas right now include Amazon Web Services, AMD, and Photon, based on current listings on Migrate Mate as of September 2026. Texas's concentration of semiconductor manufacturers, defense contractors, and financial institutions means demand extends well beyond pure software companies.
Which Texas cities have the most ai ml engineering jobs?
Austin, Irving, and Houston account for the largest share of ai ml engineering openings in Texas. Austin's dense startup and big-tech ecosystem drives a large portion of listings, while Dallas-Fort Worth's enterprise technology and financial services base sustains steady corporate demand, and Houston's energy and aerospace industries generate specialized ML roles tied to those sectors.
Are there remote ai ml engineering jobs in Texas?
Yes, and more than most fields. About 60% of ai ml engineering openings tied to Texas are remote or hybrid as of September 2026, reflecting the desk-based and infrastructure-heavy nature of the work. Model training, data pipeline engineering, and research roles tend to be the most remote-compatible, while positions requiring access to proprietary hardware or classified defense systems are more likely to require on-site presence.
How can I get hired as a ai ml engineering in Texas with little or no experience?
The most realistic entry path is applying to data analyst or software engineer roles at large Texas employers that offer internal ML rotation programs, then transitioning once you have production exposure. Companies in Austin and Dallas-Fort Worth with established engineering organizations regularly bring on new graduates through structured associate engineer programs. Building a public portfolio on GitHub with end-to-end ML projects and earning a recognized cloud ML certification gives candidates a concrete edge over applicants without formal work history.
Where can I find and apply to ai ml engineering jobs in Texas?
You can find and apply to ai ml engineering jobs in Texas on Migrate Mate, which lists current Texas openings across Austin, Dallas-Fort Worth, Houston, and other markets. Find roles that fit your experience and specialization and apply directly to the employers posting them.
See All 22 AI ML Engineering Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find AI ML Engineering Jobs