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Research Assistant Machine Learning Jobs in Texas

Avride

Machine Learning Engineer

Austin, TX · On-site

Additionally, you will analyze the latest research, assess the applicability of emerging deep ... assist with the application or hiring process, or to perform the essential functions of a job ...

Confie

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

... Research, analyze, support, and implement machine learning solutions on the Snowflake Cloud data warehouse platform using the Snowpark framework Develop novel solutions using knowledge of the latest ...

Avride

Machine Learning Engineer

Austin, TX

Additionally, you will analyze the latest research, assess the applicability of emerging deep ... Develop and Optimize Machine Learning Models: Design, implement, and refine deep learning models to ...

Houston Methodist

$16.25 - $22.25/hr

At Houston Methodist, the Research Assistant II position is responsible for providing technical ... Our lab uses proteomics, artificial intelligence/machine learning-enabled protein engineering, and ...

Avride

Machine Learning Engineer

Austin, TX · On-site

Work closely with researchers, software engineers, and robotics experts to integrate machine learning solutions into real-world autonomous systems. Qualifications : Required : • Strong ...

Quarterhill

Machine Learning Engineer

Frisco, TX · On-site

Overview Quarterhill is seeking a Machine Learning Engineer to join our forward-thinking team ... Strong communicator who can translate complex research findings into actionable decisions for ...

Tech Consulting

Be Seen First

Machine Learning Engineer

Dallas, TX · On-site

$30 - $40/hr

In this role, you will assist in designing, developing, and deploying machine learning models and AI-powered applications. You will work closely with senior developers, data scientists, and software ...

New

Q2

Machine Learning Engineer

Austin, TX

... research and experimentation to advance machine learning capabilities Collaborate with cross-functional teams to integrate AI solutions into production environments Analyze large datasets to extract ...

Q2 Software, Inc.

Machine Learning Engineer

Austin, TX · On-site

... research and experimentation to advance machine learning capabilities • Collaborate with cross-functional teams to integrate AI solutions into production environments • Analyze large datasets to ...

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How much do research assistant machine learning jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for research assistant machine learning in Texas is $20.41, according to ZipRecruiter salary data. Most workers in this role earn between $17.26 and $23.75 per hour, depending on experience, location, and employer.

What is a Research Assistant Machine Learning job?

A Research Assistant in Machine Learning supports research projects by implementing algorithms, analyzing data, and conducting experiments to advance AI models. They assist senior researchers by preprocessing datasets, developing machine learning models, and evaluating their performance. Responsibilities may also include coding, literature reviews, and writing research papers. This role is typically found in academia, research labs, or industry R&D teams. Strong programming skills, statistical knowledge, and familiarity with ML frameworks like TensorFlow or PyTorch are essential.

What types of projects might a Research Assistant in Machine Learning typically work on?

As a Research Assistant in Machine Learning, you may be involved in projects such as developing and evaluating predictive models, processing and analyzing large datasets, and assisting in the publication of research findings. Your work could contribute to applications like natural language processing, computer vision, or recommendation systems, depending on the focus of the research group. You’ll often collaborate closely with senior researchers, data scientists, or PhD students, allowing you to participate in brainstorming sessions, code development, and experimental design. This experience provides valuable exposure to cutting-edge technology and can serve as a strong foundation for a research or industry career in machine learning.

What are the key skills and qualifications needed to thrive in the Research Assistant Machine Learning position, and why are they important?

To thrive as a Research Assistant Machine Learning, you need a solid understanding of machine learning algorithms, programming skills (especially in Python or R), and a background in statistics or computer science, often supported by a bachelor’s or master’s degree. Experience with frameworks such as TensorFlow, PyTorch, and data analysis tools, as well as familiarity with version control systems like Git, is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help you excel in collaborative research environments. These skills ensure you can contribute meaningfully to research projects, analyze complex datasets, and communicate findings effectively within interdisciplinary teams.

What are popular job titles related to Research Assistant Machine Learning jobs in Texas? For Research Assistant Machine Learning jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Research Assistant Machine Learning jobs in Texas look for? The top searched job categories for Research Assistant Machine Learning jobs in Texas are:
What cities in Texas are hiring for Research Assistant Machine Learning jobs? Cities in Texas with the most Research Assistant Machine Learning job openings:
Research Assistant Machine Learning jobs near you
Infographic showing various Research Assistant Machine Learning job openings in Texas as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, 1% Temporary, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $42,457 per year, or $20.4 per hour.

Research Assistant in Materials Science and Additive Manufacturing

The University of Texas Rio Grande Valley

Edinburg, TX • On-site

Full-time

Re-posted 5 days ago

University Of Texas Rio Grande Valley rating

7.5

Company rating: 7.5 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

306th of 613 rated colleges and universities

Job description

Posting Details
Title Information
Assistantship Title
Graduate Research Assistant
Job Class Code
10095
FLSA
Exempt
Minimum Qualifications
  1. Must be admitted to a graduate degree program
  2. Be in good academic standing
  3. Be registered full-time for the respective semester (nine semester credit hours during the fall semester, nine semester credit hours during spring semester, three semester credit hours during the summer session(s)), or in the required number of semester credit hours to fulfill the only remaining requirements on the degree plan.

Position Information
Posting Number
A1346
Working Title
Research Assistant in Materials Science and Additive Manufacturing
Location
Edinburg, Texas
College
College of Engineering and Computer Science
Department
College of Engineering and Computer Science / Manufacturing and Industrial Engineering
Division
Provost - Academic Affairs
FTE
.5
Scope of Job
Maximum appointment is limited to twenty (20) hours per week (50% FTE) during the Fall and Spring semesters. Maximum appointment may be increased up to forty (40) hours per week (100% FTE) during the summer if funded by a grant.
Dr. Ahsan's Lab in the Department of Manufacturing and Industrial Engineering at UTRGV will be immediately recruiting a motivated graduate (master's/PhD) student to start as early as Summer 2026. The selected candidate will work on a funded research project focused on developing novel alloys for energy applications in harsh environments using additive manufacturing. This research involves integrating computational modeling, machine learning, and experimental investigations to design and characterize new alloys and composites fabricated via laser powder bed fusion additive manufacturing. This work is closely woven into materials science, additive manufacturing, and machine learning realm, with applications in energy and extreme environments. The candidate will receive a monthly stipend and tuition support.
Discipline Specific Required Qualifications
The Research Assistant assistantship award is available to master's and doctoral students who are assigned to a specific faculty member who is conducting research or a scholarly endeavor. Duties will vary depending on the project and assigned research/scholarly functions, or other creative aspects.
Preferred Qualifications
  1. Bachelor's degree in Mechanical Engineering, Manufacturing Engineering, or Materials Science and Engineering
  2. Master's degree in Mechanical Engineering or Materials Science and Engineering (required for Ph.D. applicants)
  3. Experience with additive manufacturing, materials characterization, and/or physics-informed machine learning
  4. Proficiency in Python programming is preferred

Salary
Commensurate with experience.
Number of Vacancies
Multiple
Desired Start Date
06/01/2026
Posting Detail Information
EEO Statement
It is the policy of The University of Texas Rio Grande Valley to promote and ensure equal employment opportunities for all individuals without regard to race, color, national origin, sex, age, religion, disability, sexual orientation, gender identity or expression, genetic information or protected veteran status. In accordance with the requirements of Title VII of the Civil Rights Act of 1964, the Title IX of the Education Amendments of 1972, Section 504 of the Rehabilitation Act of 1973, and the Americans with Disabilities Act of 1990, as amended, our University is committed to comply with all government requirements and ensures non-discrimination in its education programs and activities, including employment. We encourage women, minorities and differently abled persons to apply for employment positions of interest.
Open Date
01/27/2026
Special Instructions to Applicants
If you are interested, please send the following ASAP to Dr. AMM Nazmul Ahsan at ammnazmul.ahsan@utrgv.edu :
  • Current CV,
  • How you meet the qualifications in 2/3 sentences or bullet points, and
  • Unofficial graduate+undergraduate transcripts.

This position is expected to be filled immediately.
All applications must be submitted via the UTRGV application portal at https://careers.utrgv.edu.
If you are applying for the first time, please complete all biographical information including address, email and phone. You may update this at any time by selecting to edit your profile in the application.
A Criminal Background Check must be conducted for all applicants.
Quick Link
https://careers.utrgv.edu/postings/50078

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