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Machine Learning Research Intern Jobs in Bryan, TX

Technician I, II, or III

College Station, TX · On-site

$31K - $39K/yr

... and machinery. * Experience in daily interaction with faculty, students and staff in a diverse learning environment. * Experience in assisting and facilitating lab users on academic or research ...

... and machinery. * Experience in daily interaction with faculty, students and staff in a diverse learning environment. * Experience in assisting and facilitating lab users on academic or research ...

Assess user requirements and research goals to determine specifications for new or modified ... Extensive machine shop experience including use of equipment and tools. * Bachelor's degree in ...

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Machine Learning Research Intern information

See Bryan, TX salary details

$23.5K

$39.3K

$81.1K

How much do machine learning research intern jobs pay per year?

As of Sep 2, 2026, the average yearly pay for machine learning research intern in Bryan, TX is $39,266.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,000.00 and $42,400.00 per year, depending on experience, location, and employer.

What does a machine learning research intern do?

A Machine Learning Research Intern assists in the development, implementation, and evaluation of machine learning models and algorithms under the supervision of experienced researchers. They often preprocess data, run experiments, analyze results, and contribute to research papers or technical reports. Interns also stay up to date with the latest advancements in machine learning, participate in team meetings, and sometimes help in coding or optimizing existing models. This role provides hands-on experience in applying theoretical knowledge to real-world problems and prepares interns for careers in AI research or development.

What are the key skills and qualifications needed to thrive as a machine learning research intern?

To thrive as a Machine Learning Research Intern, you need a strong foundation in mathematics, statistics, programming (especially Python), and an understanding of machine learning algorithms, typically supported by ongoing or completed studies in computer science or related fields. Familiarity with technical tools such as TensorFlow, PyTorch, scikit-learn, and experience with data analysis libraries are commonly required. Curiosity, problem-solving ability, and effective communication skills help interns stand out by enabling them to collaborate, share insights, and adapt to new research challenges. These skills ensure interns can contribute meaningfully to research projects, quickly learn new techniques, and effectively communicate their findings.

What are some typical challenges faced by machine learning research interns during their projects?

Machine Learning Research Interns often encounter challenges such as dealing with limited or messy datasets, tuning complex model architectures, and balancing innovative research with practical implementation. Additionally, they may need to quickly familiarize themselves with unfamiliar frameworks or tools and effectively communicate technical findings to both technical and non-technical team members. Successfully navigating these challenges can provide valuable learning experiences and help interns build strong problem-solving skills for future roles.

What are popular job titles related to Machine Learning Research Intern jobs in Bryan, TX?

For Machine Learning Research Intern jobs in Bryan, TX, the most frequently searched job titles are:

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

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

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

Cities near Bryan, TX with the most Machine Learning Research Intern job openings:

Tenure-Track: Assistant or Associate Professor - Thermo-Fluids

Texas A&M University

College Station, TX • On-site

Full-time

Re-posted 12 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

234th of 627 rated colleges and universities


Job description

Description
The J. Mike Walker '66 Department of Mechanical Engineering in the College of Engineering at Texas A&M University invites applications for a tenure-track faculty position with a nine-month academic appointment, and the possibility of an additional summer appointment contingent upon need and availability of funds, beginning fall 2027. Applicants will be considered for the faculty titles of Assistant Professor or Associate Professor depending on qualifications and credentials. The department will consider candidates with demonstrated expertise and experience in thermo-fluids science and engineering, encompassing both fundamental and applied research in fluid mechanics, heat transfer, and energy-related systems. Particular interest is directed toward researchers advancing the understanding, modeling, experimentation, prediction, and control of complex fluid-thermal phenomena. Fundamental areas of interest include turbulence, flow instabilities, multiphase flows, environmental flows, combustion, reacting flows, thermal management, and hypersonic propulsion. The department welcomes expertise in both computational and experimental approaches, including computational fluid dynamics, data-driven and machine learning methods, reduced-order modeling, uncertainty quantification, and advanced measurement and diagnostic techniques. Applications may span aerospace and propulsion systems, energy conversion and storage, advanced manufacturing, defense technologies, and emerging engineering systems where fluid, thermal, and reacting-flow processes play a critical role. Successful candidates will join a collaborative and interdisciplinary community of faculty addressing pressing challenges in energy, transportation, and advanced engineering systems, with the goal of developing transformative scientific insights and impactful engineering solutions.
The successful applicant will be required to teach, advise and mentor graduate students, develop an independent, externally funded research program, participate in all aspects of the department's activities, and serve the profession. Strong written and verbal communication skills are required. Applicants must have an earned doctorate in mechanical engineering or a closely related engineering or science discipline. Applicants should consult the department's website to review our academic and research programs (http://engineering.tamu.edu/mechanical).
The J. Mike Walker '66 Department of Mechanical Engineering at Texas A&M University in College Station, Texas has a strong local, national, and international reputation as a premier undergraduate and graduate education and research program. The department's undergraduate program is ranked No. 7 and its graduate program is ranked No. 6 among public institutions by U.S. News & World Report. The department ranks No. 1 nationally among public mechanical engineering programs, according to the ShanghaiRanking global ranking of academic subjects. The department has 76 tenured or tenure track faculty and 25 research and teaching professionals that support our teaching, research, and service missions. The department has approximately 1,500 undergraduate students (sophomore-senior) and over 325 Ph.D. students critical to our mission. Our doctoral program produces highly trained mechanical engineers for placement as professors and researchers at competitive universities, in industries in Texas, the nation, and internationally, and as researchers in national laboratories. There is also a large M.S. program with approximately 175 students who are an integral part of the research enterprise of the department. Mechanical engineering graduate students are supported by a broad spectrum of funding sources, including federal and international research grants, industrial contracts, and through major research centers, such as the Turbomachinery Laboratory, Center for Autonomous Vehicles and Sensor Systems, Center of Innovation in Mechanics for Design, INVENT Lab, StarLab and the Energy Systems Laboratory. We also have about 75 Master of Engineering students enrolled.
Texas A&M University is located in the twin cities of Bryan and College Station, Texas, with a population of more than 280,000, and is conveniently centrally located in a triangle formed by Dallas, Houston and Austin. Texas A&M has more than 74,000 graduate and undergraduate students enrolled at the College Station campus. Research expenditures total more than $922 million annually, ranking Texas A&M in the top tier of universities nationwide. The Texas A&M University System has an endowment valued at more than $13.6 billion and Texas A&M University ranks 3rd among U.S. public universities and 8th overall. With more than 820 faculty members and over 24,700 students, the College of Engineering is one of the largest engineering schools in the country. The college is ranked 9th in graduate studies and 9th in undergraduate programs among public institutions by U.S. News & World Report. The college is also ranked 1st in research expenditures by the American Society for Engineering Education. Texas A&M is aware that attracting and retaining exceptional faculty often depends on meeting the needs of two careers and having policies that contribute to work-life balance.
Qualifications
Applicants must have an earned doctorate in mechanical engineering or a closely related engineering or science discipline.
Application Instructions
Applicants must submit a cover letter, curriculum vitae, and personal statement to include philosophy and plans for research, teaching, and service as applicable, and a list of four references (including postal addresses, phone numbers and email addresses) by applying for this specific position at apply.interfolio.com/189116. Full consideration will be given to applications received by December 1, 2026. Applications received after that date may be considered until positions are filled. It is anticipated the appointment will begin in fall 2027.
For more information, contact Rebecca Simon at rebeccasimon@tamu.edu.

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