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Machine Learning Professor Jobs in Texas (NOW HIRING)

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Machine Learning Professor information

What does a machine learning professor do?

A Machine Learning Professor teaches university-level courses on machine learning, data science, and related topics. They conduct original research in the field, often publishing their findings in academic journals and presenting at conferences. In addition to lecturing, they mentor students, supervise theses or dissertations, and may collaborate with industry partners on research projects. Their work helps advance the understanding and applications of machine learning.

What are the key skills and qualifications needed to thrive as a machine learning professor, and why are they important?

To thrive as a Machine Learning Professor, you need deep expertise in machine learning algorithms, mathematics, and data science, typically supported by a Ph.D. in computer science or a related field. Familiarity with programming languages like Python and R, as well as tools such as TensorFlow, PyTorch, and academic research platforms, is essential. Exceptional communication, mentorship abilities, and enthusiasm for teaching help inspire and guide students and peers. These skills ensure effective research output, high-quality teaching, and the development of future leaders in the field.

How does a machine learning professor typically balance research, teaching, and mentorship responsibilities?

Machine Learning Professors usually split their time between conducting original research, teaching undergraduate and graduate courses, and mentoring students. Balancing these responsibilities can be challenging, particularly when managing multiple research projects and supervising student theses. Professors often collaborate with industry partners and other academic departments, which enhances research opportunities but also adds to their workload. Effective time management and prioritization are key to thriving in this dynamic environment, and universities often provide some flexibility in teaching loads or research support to help maintain this balance.
Machine Learning Professor jobs near you
Infographic showing various Machine Learning Professor job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Tenured/Tenure-Track: Open Rank & Title

College Station, TX • On-site

Texas A&M University
Colleges, Universities, and Professional Schools • 1 - 5K employees
Learn more about Texas A&M Universityexternal

Full-time

Re-posted 24 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

Job description

Description
The Department of Electrical and Computer Engineering, College of Engineering at Texas A&M University invites applications for six full time tenured/tenure track faculty positions at assistant, associate, or full professor level beginning fall of 2027. The successful applicant will teach both at the undergraduate and graduate level; engage in research activities; advise and mentor students; engage in both internal and external service activities within the general area; participate in all aspects of the department's activities; and serve the profession.
Consideration will be given to all areas of Electrical and Computer Engineering with an emphasis in the broad areas of Artificial Intelligence/Machine Learning (AI/ML), Robotics, Quantum, Chip Design & Manufacturing, and Bioimaging.
As a major department with an enrollment of about 1,700 undergraduate, 300 Ph.D. and 450 master's students pursuing degrees in electrical and computer engineering, our mission is fourfold: to create new knowledge and challenge young minds by participation in the process of discovery and invention, to educate electrical and computer engineers with a solid background of fundamentals, to prepare graduates for an exciting future and to serve the society through research, education and outreach activities. Texas A&M is investing for the future, with a $250 million Semiconductor Institute and $100 million in AI/ML computing infrastructure. ECE department has 7 National Academy Members and nearly 40 Professional Society Fellows. The department is in a strategic growth phase and expects to fill another 15 positions in the next few years. Applicants should consult the department's website to review our academic and research programs (engineering.tamu.edu/electrical).
Qualifications
For appointments at Assistant Professor, Associate Professor, and Professor level, applicants must have a doctoral degree in Electrical and Computer Engineering or a closely related engineering or science discipline. Strong written and verbal communication skills are required. Although appointments at all three ranks are possible, preference will be given to candidates at the assistant professor level.
Application Instructions
Applicants should submit a cover letter, curriculum vitae, 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 https://apply.interfolio.com/188821. Additional materials may be requested from finalists. Full consideration will be given to applications received by October 15, 2026. Applications received after that date may be considered until positions are filled. It is anticipated the appointment will begin in fall 2027.
Job Contact: Rebecca Rice, rebecca-rice@tamu.edu

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