Full Time Adjunct Faculty, MS Applied Artificial Intelligence

Details•San Diego, CA

41d•Onsite

About The Position

The Shiley-Marcos School of Engineering at the University of San Diego (USD) invites applications for a full-time adjunct faculty in the Master of Science in Applied Artificial Intelligence (MS-AAI) program. This on-campus position requires the selected candidate to reside in or relocate to the San Diego area. The MS-AAI program is delivered in accelerated 7-week course blocks, and all instruction occurs in person at USD. USD is a designated Changemaker campus committed to academic excellence, student success, ethical responsibility, and community engagement. This is a full-time temporary, benefit-based position with an anticipated end date of August 31, 2027. The appointment is renewable at the discretion of the University and dependent upon performance and continued funding.

Requirements

Master’s degree or higher in Artificial Intelligence, Computer Science, Data Science, Statistics, Electrical and Computer Engineering, or a closely related quantitative field.
Demonstrated industry experience related to AI or applied research experience in artificial intelligence or machine learning.
Strong foundations in machine learning principles, probability, statistics, and linear algebra relevant to deep learning and large language models.
Strong interpersonal, collaborative, and professional communication skills.
Commitment to equity, inclusion, student engagement, and inclusive teaching practices.
Candidates must be authorized to work in the United States.
Successful completion of a pre-employment background check and drug screen.
Persons offered employment in this position will be required to provide official education transcripts for degree verification purposes.

Nice To Haves

Prior university-level teaching experience, ideally in in-person, project-based, or experiential learning environments.
Industrial experience in AI engineering, ML engineering, deep learning, generative AI, LLM development, computer vision, or MLOps/model deployment.
Proficiency in developing and deploying modern AI/ML systems. This includes expertise in core languages (e.g., Python) and frameworks such as PyTorch, TensorFlow, Scikit-learn, LangChain, AWS SageMaker, and vector databases.
Ability to integrate ethical frameworks, responsible AI principles, and real-world case studies into teaching.
Experience mentoring graduate students or supervising capstone projects.

Responsibilities

Demonstrate a strong commitment to teaching excellence in an applied graduate program.
Deliver engaging instruction in 7-week, in-person course formats.
Provide timely, constructive feedback and meaningful engagement with graduate students.
Integrate industry experience, real-world case studies, and emerging AI practices into the teaching curriculum.
Mentor and advise graduate students on academic progress, career planning, and capstone project development.
Uphold USD’s Vision, Mission, and Core Values, including academic excellence, community, ethical conduct, and compassionate service.
Maintain high standards of academic integrity and student performance.
Collaborate with the Academic Program Director and Program Coordinator on course development and continuous improvement.
Participate in departmental and university service and marketing activities as appropriate.
Teaching responsibilities include lecturing, designing assignments and projects, grading, providing feedback, and supporting students academically and professionally.