ZipRecruiter

Log In

1

Research Assistant Machine Learning Jobs in Bryan, TX

HDL Research Lab Inc

Machinist

Brenham, TX · On-site

$17.25 - $23.50/hr

... * Assist with in-process deburr as parts complete machining operations. * Follow established ... HDL Research Lab considers a number of factors when determining base salary offers including the ...

HDL Research Lab Inc

Machinist

Brenham, TX · On-site

$17.25 - $23.50/hr

... * Assist with in-process deburr as parts complete machining operations. * Follow established ... HDL Research Lab considers a number of factors when determining base salary offers including the ...

HDL Research Lab Inc

Machinist

Brenham, TX · On-site

$17.25 - $23.50/hr

... * Assist with in-process deburr as parts complete machining operations. * Follow established ... HDL Research Lab considers a number of factors when determining base salary offers including the ...

Tamus

Learning Quality Consultant

College Station, TX · On-site

$61K - $72K/yr

... in research-based standards and learner-centered practices. In this role, you will play an ... A cover letter and resume will assist us in our review of your application materials. These can be ...

previous page

Showing results 41-60

All JobsResearch Machine Learning JobsResearch Assistant Machine Learning JobsResearch Assistant Machine Learning Jobs in Bryan, TX

Research Assistant Machine Learning information

See Bryan, TX salary details

$7

$20

$29

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

As of Sep 3, 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.

Tenure Track: Assistant Professor

Texas A&M University

College Station, TX • On-site

Full-time

Re-posted 29 days ago

Texas A&M University rating

7.8

Company rating: 7.8 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

236th of 628 rated colleges and universities

Job description

Description
The Department of Biology in the College of Arts and Sciences at Texas A&M University (TAMU) invites applications for a full-time, tenure-track Assistant Professor position in Bioinformatics/Biological AI. This is a 9-month appointment with an anticipated start date of Fall 2027. This position is one of seven faculty hires the Department of Biology will make during the 2026-2027 academic year across a range of research areas. As part of a major departmental expansion aligned with our 2020-2029 Strategic Plan, this search aims to strengthen research excellence across broad areas of biology by supporting a research program that incorporates bioinformatics or artificial intelligence approaches. The research themes could align with core areas of departmental focus, including microbiology and biological Resilience, Synthetic Biology, Evolution, neuroscience, and Biological Clocks. We are especially interested in candidates who employ interdisciplinary, collaborative, and innovative approaches to address compelling questions in the biological sciences through computational, quantitative, and data-driven methods. Successful applicants are expected to develop and sustain an externally funded research program, contribute to undergraduate and graduate education, and engage in departmental and university service. We welcome applicants whose research spans disciplinary boundaries and supports research programs ranging from basic biological mechanisms to applied biomedical, environmental, or translational sciences.
Texas A&M's research enterprise is internationally recognized for excellence across the life sciences. The Department of Biology (www.bio.tamu.edu) provides a collegial, collaborative research environment that supports large undergraduate and graduate programs and promotes integration of students into active research. Faculty benefit from access to world-class research and teaching infrastructure, competitive startup packages, and participation in several interdisciplinary doctoral programs, including Ecology and Evolutionary Biology, Genetics, and Neuroscience. The department also houses the Center for Biological Clocks Research, which supports research in circadian biology and sleep.
In support of growth in the biological sciences, major remodeling of teaching space is underway, and architectural design for a new Biology building is in progress to add significant research space for our faculty.
Texas A&M University is in Bryan-College Station. This vibrant and fast-growing community combines arts and entertainment, strong public schools, and a high quality of life. Situated in the heart of the Houston-Dallas-Austin triangle, the region offers the amenities of a large metropolitan area while maintaining a welcoming, small-town feel.
Qualifications
Candidates must hold a Ph.D. in Biology, Bioinformatics, Computational Biology, or a related discipline, and demonstrate a strong track record of impactful research in bioinformatics, computational biology, machine learning, artificial intelligence, or related areas relevant to the biological sciences. We seek candidates whose work demonstrates creativity, research excellence, and strong potential for interdisciplinary impact, particularly through connections to one or more of the department's focal areas: Biological Resilience, Synthetic Biology, Evolution, or Biological Clocks.
Application Instructions
For full consideration, application materials must include a short cover letter (one page), a curriculum vitae, and a personal statement that includes philosophy and plans for research (maximum three pages), teaching (maximum two pages), and service, and contact information for three references. These materials must be submitted online at apply.interfolio.com/189103 . Please ensure all required documents are complete and accurate to facilitate a smooth application process.
Review of applications will begin around September 1, but applications will continue to be accepted until the final deadline of October 1.
Questions about this search may be directed to Dr. Heath Blackmon, Chair of the search committee, at hblackmon@bio.tamu.edu.
Equal Employment Opportunity Statement
Equal Opportunity/Veterans/Disability Employer.

What Texas A&M University employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply