AI ML Engineer Jobs in Texas
AI ML Engineer jobs in Texas are among the most active in the country, with strong demand concentrated in tech, financial services, energy, defense, and semiconductor manufacturing and openings that range from entry-level data science associates through principal engineers and applied research leads. Austin, Dallas, and Houston are the primary hiring centers, where companies like Texas Instruments, ExxonMobil, and Dell Technologies maintain significant AI and machine learning teams. The most in-demand specialties include large language model (LLM) development, computer vision, MLOps, and predictive analytics applied to energy and financial data. 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 28 AI ML Engineer Jobs in Texas
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Find AI ML Engineer JobsAI ML Engineer Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
AI ML Engineer Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Retail
- Education
- Banking & Financial Services
- E-Commerce & Online Marketplaces
What Texas Employers Look For
The qualifications that appear most often in AI ML engineer jobs across Texas.
- Bachelor's or master's degree in computer science, statistics, mathematics, or a related field
- Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learn
- Experience designing, training, and deploying machine learning models in production environments
- Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud for model hosting
- Strong knowledge of data pipelines, feature engineering, and experiment tracking tools like MLflow
- Ability to communicate model performance and limitations clearly to non-technical stakeholders
AI ML Engineer Jobs in Texas: Frequently Asked Questions
How do you become a ai ml engineer in Texas?
There is no state-issued license required to work as an ai ml engineer in Texas, so the path runs through education and demonstrated technical skill. Most roles require at least a bachelor's degree in computer science, data science, mathematics, or a closely related field, with a master's degree increasingly preferred for senior positions. Texas employers place heavy weight on a portfolio of real projects, competition experience such as Kaggle, and internships completed at Texas-based tech, energy, or semiconductor companies.
Which companies hire ai ml engineers in Texas?
Employers hiring ai ml engineers 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 energy, defense, and semiconductor companies means demand extends well beyond traditional tech firms into sectors where applied ML is reshaping core operations.
Which Texas cities have the most ai ml engineer jobs?
Austin, Dallas, and Irving account for the largest share of ai ml engineer openings in Texas. Austin's dense startup and semiconductor ecosystem drives its volume, Dallas attracts financial services and telecom firms with large AI teams, and Houston's energy sector has invested heavily in predictive modeling and optimization roles tied to oil and gas operations.
Are there remote ai ml engineer jobs in Texas?
Yes, and more than most fields. About 67% of ai ml engineer openings tied to Texas are remote or hybrid as of September 2026, reflecting that most of the work involves writing code, training models, and analyzing data rather than being on-site. Fully remote roles are most common in research-oriented positions and at software-first companies, while roles involving proprietary hardware, defense systems, or on-premises data centers typically require in-person work.
How can I get hired as a ai ml engineer in Texas with little or no experience?
The most realistic entry path is through an associate or junior data scientist role at a mid-size Texas tech or energy company, where the scope is narrow enough for new graduates to contribute quickly. Texas Instruments and Dell Technologies run structured early-career programs that include applied ML rotations. Building a public GitHub portfolio with end-to-end projects and completing a recognized credential such as the AWS Certified Machine Learning Specialty or Google Professional ML Engineer certificate gives candidates from adjacent roles like data analyst or software developer a concrete edge when applying.
Where can I find and apply to ai ml engineer jobs in Texas?
You can find and apply to ai ml engineer jobs in Texas on Migrate Mate, which lists current Texas openings across Austin, Dallas, Houston, and other markets statewide. Search the listings for roles that match your experience level and specialty, then apply directly to the ones that fit.
See All 28 AI ML Engineer Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
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