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Research Assistant Machine Learning Jobs in Bryan, TX

TEES

Research Engineer I

College Station, TX

The Research Assistant will support the development and implementation of machine learning algorithms for cyber-physical attack detection in electric power systems. Responsibilities include designing ...

Tamus

Research Engineer I

College Station, TX · On-site

The Research Assistant will support the development and implementation of machine learning algorithms for cyber-physical attack detection in electric power systems. Responsibilities include designing ...

Tamus

Research Assistant

College Station, TX · On-site

$16 - $22/hr

Job Title Research Assistant Agency Texas A&M Agrilife Research Department Biochemistry ... Yes If Yes, give percentage of time spent in this capacity: 50% Machines or equipment used in the ...

TEES

Research Assistant P8

College Station, TX · On-site

$16 - $22/hr

Job Title Research Assistant P8 Agency Texas A&M Engineering Department Civil Engineering Proposed ... In summary, we expect our graduates to be fully prepared for life-long learning experiences that ...

Tamus

Research Assistant P8

College Station, TX · On-site

$16 - $22/hr

Job Title Research Assistant P8 Agency Texas A&M Engineering Department Civil Engineering Proposed ... In summary, we expect our graduates to be fully prepared for life-long learning experiences that ...

Tamus

Postdoctoral Researcher

College Station, TX · On-site

... or learning, are predominantly intellectual and varied in character, and require consistent ... research. * Assist in the day-to-day operations of the Center. * Create proposals to solicit ...

TEES

Postdoctoral Researcher

College Station, TX

... or learning, are predominantly intellectual and varied in character, and require consistent ... research. * Assist in the day-to-day operations of the Center. * Create proposals to solicit ...

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

As of Sep 2, 2026, the average hourly pay for research assistant machine learning in Bryan, TX is $20.20, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $23.51 per hour, depending on experience, location, and employer.

What is a research assistant machine learning?

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 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 as a research assistant machine learning?

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 job categories do people searching Research Assistant Machine Learning jobs in Bryan, TX look for?

The top searched job categories for Research Assistant Machine Learning jobs in Bryan, TX are:

What cities near Bryan, TX are hiring for Research Assistant Machine Learning jobs?

Cities near Bryan, TX 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 Bryan, TX as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $42,020 per year, or $20.2 per hour.

Research Engineer I

TEES

College Station, TX

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Job description

Job Title

Research Engineer I

Agency

Texas A&M Engineering

Department

Electrical Engineering

Proposed Minimum Salary

Commensurate

Job Location

College Station, Texas

Job Type

Staff

Job Description

Why work for Texas A&M Engineering?

Engineering has been part of Texas A&M University since its opening in 1876 as the Agricultural and Mechanical College of Texas. Today, the College of Engineering is the largest college on the College Station campus with more than 25,000 engineering students enrolled in 15 departments. Its mission is to serve Texas, the nation and the global community by providing engineering graduates who are well-founded in engineering fundamentals, instilled with the highest standards of professional and ethical behavior, and prepared to meet the complex technical challenges of society.

As the research arm of Engineering, the Texas A&M Engineering Experiment Station (TEES) is a state agency within the Texas A&M University System with a mission to improve lives through basic and applied engineering research, workforce development and technology transition. Our collaborations with industry, academia and government provide cutting-edge solutions to global technical challenges.

We are deeply committed to recruiting and retaining a talented workforce that embraces our core values of Respect, Excellence, Leadership, Loyalty, Integrity, and Service, by offering competitive salaries, an array of benefits, an extensive support network, and above all, an enriching and highly collaborative working community that is deeply passionate about our vision for higher education, research, and public service.

Job Description


The Research Assistant will support the development and implementation of machine learning algorithms for cyber-physical attack detection in electric power systems. Responsibilities include designing real-time analytics using Python and TensorFlow, reporting research findings, and contributing to collaborative research efforts. The position applies advanced skills developed during doctoral research in AI-enabled cybersecurity for power systems.

Responsibilities:

  • Support the development and implementation of machine learning algorithms for cyber-physical attack detection in electric power systems.

  • Design and implement real-time analytics using Python and TensorFlow.

  • Conduct research related to AI-enabled cybersecurity for electric power systems.

  • Analyze research data and report findings through technical documentation and presentations.

  • Contribute to collaborative research projects and support research team initiatives.

  • Apply advanced knowledge and skills developed through doctoral research in artificial intelligence and power systems cybersecurity.

What We Need:

  • Bachelors Degree

What is Helpful:

  • Bachelor's degree in Electrical Engineering, Computer Science, or a related field.

  • Master's or PhD in Electrical Engineering, Computer Science, or related discipline.

  • Research experience in machine learning, power systems, or cybersecurity.

  • Proficiency in Python programming.

  • Familiarity with machine learning frameworks (e.g., TensorFlow).

  • Understanding of electric power systems and cybersecurity concepts.

  • Strong analytical and problem-solving skills.

  • Ability to work collaboratively in a multidisciplinary research environment.

Equipment utilized:

  • Python development environments

  • Virtual Machines

  • Standard office and research equipment

Work Location:

  • Main Campus - College Station, TX.

About Electrical and Computer Engineering

The Department of Electrical and Computer Engineering at Texas A&M University leads advanced research in several important national and global areas for the betterment of humanity. Areas of research include power and power electronics, information systems, computer architecture, analog and mixed signals circuits, biomedical imaging, and photonics and semiconductors, with ML/AI infused in several of these research areas. Situated conveniently in the hub of the Dallas-Austin-Houston technology triangle, the department collaborates closely with key players in healthcare, computing, telecommunications, energy, and semiconductor manufacturing sectors. It also benefits from its proximity to and engagement with the Army Futures Command and the facilities and test-beds available at the Texas A&M System's RELLIS Campus. With strong support from Texas' robust manufacturing sector and its economy, the department has numerous opportunities to engage in exciting interdisciplinary research partnerships that are shaping the future educational and research landscapes. These partnerships include collaborations and engagement with the Texas A&M Data Science Institute, the Global Cyber Research Institute, the Texas A&M Energy Institute, and the Smart Grid Center.

Texas A&M Engineering provides an outstanding benefits package including but not limited to:

  • Competitive medical insurance benefits through Blue Cross and Blue Shield of Texas and Prescription coverage by Express Scripts.

  • Options for Vision, Dental, Life, and Long-Term Disability insurance.

  • A defined benefit retirement plan with the Teacher Retirement System of Texas (TRS) with 8.25% employer contribution.

  • Additional Voluntary Retirement Programs: Tax Deferred Account 403(b) and a Deferred Compensation Program 457(b).

  • Flexible spending account options for medical and childcare expenses

  • Generous paid time off with holidays, vacation and sick leave.

  • Robust free training access through LinkedIn Learning plus professional development opportunities.

  • Tuition assistance and Educational release time to further your academic pursuits.

  • Access to Engineer Your Wellness programs that provide opportunities for employees to engage in health and fitness.

  • Wellness release time offered to employees to promote work/life balance.

Helpful Applicant Information

Required Materials for Application:

  • Resume/CV

  • Three work references with their contact information; at least one reference should be from a supervisor/former supervisor.

  • Letter of interest

Applications received by Texas A&M Engineering must have all required job application data entered.

Failure to provide all job application data could result in an invalid submission and a rejected application.

Compensation Philosophy:

  • Recruit and retain a high-performing workforce through competitive compensation and career development including career pathing, coaching and skills development.

  • Recognize and reward exceptional performance based on individual and team contributions to the growth and success of Texas A&M Engineering.

  • Offer total rewards through flexible benefits, professional development, and work-life balance. Maintain an equitable and transparent process for compensation decisions.

  • Support, reinforce, and align compensation decisions with budgetary and financial strategies to ensure growth and sustainability.

Employment Eligibility Verification

  • If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in delay of start date.

All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution's verification of credentials and/or other information required by the institution's procedures, including the completion of the criminal history check.

Equal Opportunity/Veterans/Disability Employer.

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