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Machine Learning Professor Jobs (NOW HIRING)

Towson University

Assistant Teaching Professor

Campus, IL · On-site

$50K - $55K/yr

Assistant Teaching Professor Department of Learning Technologies, Design & School Library Media ... Artificial intelligence or machine learning; Data science or data analytics; Computing/Computer ...

Howard University

Assistant Professor

Washington, DC · On-site

... or Associate Professor position. The department seeks candidates with research expertise and ... AI and machine learning approaches in biomedical sciences. The cluster seeks to advance ...

Howard

Assistant Professor

Locke, NY · On-site

... or Associate Professor position. The department seeks candidates with research expertise and ... Conduct high-quality, externally visible research in applied mathematics, machine learning, and ...

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Machine Learning Professor information

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.

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 cities are hiring for Machine Learning Professor jobs? Cities with the most Machine Learning Professor job openings:
What states have the most Machine Learning Professor jobs? States with the most job openings for Machine Learning Professor jobs include:
Machine Learning Professor jobs near you
Infographic showing various Machine Learning Professor job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 75% Full Time, and 24% Part Time. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.
Assistant Teaching Professor

Assistant Teaching Professor

Towson University

Campus, IL • On-site

$50K - $55K/yr

Other

Medical, Life, Retirement

Posted 16 days ago

Towson University rating

7.1

Company rating: 7.1 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

349th of 535 rated colleges and universities

Job description

Assistant Teaching Professor

Department of Learning Technologies, Design & School Library Media (LTDM)

College of Education

COE-3922L

Towson University:

Towson University (TU) is one of the nation's top 100 public universities. Located north of Baltimore, TU currently enrolls over 19,000 students and is the second-largest university in the prestigious University System of Maryland. Towson University fosters a climate that is grounded in respect to cultivate the intellectual and personal growth of the entire university community.

Position:

The College of Education, Department of Learning Technologies, Design & School Library Media (LTDM) at Towson University invites applications for a non-tenure, 9-month Assistant Teaching Professor position in the Learning Design/Instructional Technology programs. Spring 2027 preferred start date. The LTDM Department offers Ph.D., M.S., and certificate programs in instructional design and development, educational technology, and school library media. It also offers undergraduate courses in "integrating technology in teaching and learning," "artificial intelligence for education," and "cybersecurity for educators" for prospective teachers and other interested undergraduates, as well as several sections of general education freshman research seminars.

Qualifications:

The teaching-focused faculty position emphasizes computing, artificial intelligence (AI), data science, and advanced technology integration, grounded in learning design and learning sciences. The successful candidate will contribute to undergraduate and/or graduate programs by designing and teaching innovative, student-centered courses that engage learners through problem- and project-based learning, promote inclusive excellence, and prepare students to apply computational and data-driven approaches to real-world challenges. This role is ideal for educators who bridge technical expertise with evidence-based teaching practices and who are passionate about broadening participation in computing and learning technologies.

Successful candidates will have:

       earned a master's or Ph.D. in Computer Science, Data Science, Artificial Intelligence, Learning Sciences, Cognitive Psychology, Educational Technology, or a closely related field;

       demonstrated commitment to culturally responsive teaching and mentoring diverse student populations;

       show evidence of teaching experience or strong potential for excellence in teaching at the undergraduate and/or graduate level;

       demonstrated expertise in at least one of the following areas: Artificial intelligence or machine learning; Data science or data analytics; Computing/Computer Science; Cognitive Psychology/Learning Sciences;

       show familiarity with ethical, societal, and policy issues related to AI and data science;

       evidence of skill in designing authentic, real-world learning experiences;

       demonstrated commitment to continuous improvement through reflective and evidence-based teaching;

       show strong communication and collaboration skills; and

       evidence of pedagogical scholarship, curriculum development, or teachingrelated grants.

Responsibilities:

  • Design and teach courses in areas such as: Artificial intelligence and machine learning; Data science and data literacy; Computing foundations (e.g., programming, algorithms, systems); integrating advanced learning technology in teaching and learning; ethics and societal impacts of AI and computing
  • Develop interdisciplinary, project-based learning experiences grounded in authentic problems.
  • Continuously assess and improve courses using student feedback, learning data, and reflective practice.

        Develop scholarship and curriculum development through engagement in professional development and reflective, evidence-based teaching.

Application Process:

Review of applications begins immediately and continues until the position is filled. Submit a cover letter, curriculum vitae, candidate's reflections, and descriptions of your experience and background that match the position qualification, graduate transcripts, and three reference letters to the link below.

Click here to apply. Please note that the search number for which you are applying is COE-3922L.

Please be sure to visit the Applicant Data Form to complete a voluntary online form. All data collected is for internal, state, and/or federal reporting and will not be used for other purposes.

Salary and Benefits:

Targeted salary range: $50,000 - $55,000, commensurate with experience.

Benefits: TU offers a comprehensive benefits package that includes excellent health, life and retirement plans; and tuition remission. To learn more about our benefits, click here for regular faculty/teaching professor or here for contingent teaching professor. TU also offers a variety of great perks and discounts, which can be found here.

Background Check:

A Criminal Background Investigation is required for the hired candidate, and the results may impact employment.

COVID-19 Statement:

The safety of our students, faculty, staff, and neighbors has been our top priority and the focus of every decision we have made since the earliest days of the COVID-19 pandemic. Therefore, the University System of Maryland (USM) has strongly encouraged full COVID vaccination and up-to-date booster shots (when eligible) for all faculty, staff, and students at all USM schools, as both a reasonable and necessary means of protecting our health and safety.

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