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Machine Learning Professor Jobs (NOW HIRING)

Towson University

Assistant Teaching Professor

Towson, MD · On-site

$50K - $55K/yr

Responsibilities and Duties Assistant Teaching Professor Department of Learning Technologies ... Artificial intelligence or machine learning; Data science or data analytics; Computing/Computer ...

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 ...

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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.

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:

What are popular job titles related to Machine Learning Professor jobs?

For Machine Learning Professor jobs, the most frequently searched job titles are:

Machine Learning Professor jobs near you
Infographic showing various Machine Learning Professor job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

Faculty.Professor.Professor - Full-Time

Pittsburgh, PA • On-site

University of Pittsburgh
Colleges, Universities, and Professional Schools • 10K+ employees
Learn more about University of Pittsburghexternal

Full-time

Re-posted 7 days ago

Job description

The Department of Biomedical Informatics (DBMI) (https://www.dbmi.pitt.edu) is seeking to recruit faculty in biomedical informatics with expertise in artificial intelligence and machine learning (AI/ML) for tenure-track and tenured positions in the School of Medicine at the University of Pittsburgh. DBMI has eighteen primary faculty members with a focus on developing and applying AI/ML methods in clinical informatics, translational bioinformatics, clinical research informatics, and public health informatics. The University of Pittsburgh and its regional collaborator, Carnegie-Mellon University, have dozens of additional faculty scholars pursuing research in AI/ML and healthcare.
The ideal candidate will be a nationally recognized scholar who is working at the intersection of AI/ML and biomedical informatics with one or more existing federally funded research projects. Candidates must either have a PhD, which may include (but is not limited to) biomedical informatics, health informatics, bioinformatics, computer science, statistics, or information sciences, or a professional health degree (MD, RN, PharmD) with informatics training. We welcome clinicians, including internists, pediatricians, surgeons, psychiatrists, nurses, and pharmacists, particularly those with an AI/ML research track record and interest in clinical informatics, precision medicine, or public health informatics.
Successful faculty recruits will be expected to lead an independently funded research program, leverage DBMI's exceptional infrastructure, and participate in instruction and mentoring in our NLM-funded Biomedical Informatics Training Program. Clinically trained faculty can pursue clinical practice and participate in the Clinical Informatics Subspecialty Fellowship Program. Faculty also have ample opportunity to explore commercialization and entrepreneurship toward the goal of commercializing innovative research.
For an Assistant Professor position the qualifications are as follows: Must possess a doctoral degree or appropriate professional degree. Should have demonstrated teaching ability, experience in advanced study and research, or professional experience of a kind which would enable them to make an academic contribution. They should exhibit promise of originality and excellence in some field of scholarship, and should have demonstrated ability in guiding and counseling students
For an Associate Professor position the qualifications are as follows: 5+ years of experience and in addition to the degree requirements described above, an Associate Professor should have substantial experience in teaching and research and should have attained eminence in a scholarly or professional field.
For a Professor position, the qualifications are as follows: 10+ years of experience. in addition to the degree requirements described above, a Professor should have authoritative knowledge and reputation in a recognized field of learning and the achievement of effective teaching skills. They should have attained superior stature in their field through research, scholarship, and professional leadership.
The following four documents are required for an application: Cover Letter, Curriculum Vitae, Teaching Statement and Research Statement.

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