Full Time Adjunct Faculty, MS Applied Artificial Intelligence

University of California; San Diego (CA); On-site; USD 70,000 - 90,000; Full time

Benefits offered by this job

Medical benefits

Dental and vision insurance

Retirement contributions

Job summary

The University of San Diego is seeking a Full Time Adjunct Faculty for the MS Applied Artificial Intelligence program in San Diego. This role emphasizes real‑world AI applications, requiring expertise in deep learning and machine learning principles.

Responsibilities include delivering engaging instruction, mentoring graduate students, and developing course content in an accelerated format. A Master's degree in a relevant field and industry experience in AI are mandatory for applicants. Competitive benefits and a salary range from $5,859 to $7,500 per month are provided.

Qualifications

• Master’s or higher degree in AI, Computer Science, Statistics, or related field.
• Demonstrated industry experience in AI or machine learning.
• Strong foundations in statistics and linear algebra.

Responsibilities

• Deliver engaging instruction in 7-week course formats.
• Mentor graduate students on academic progress.
• Collaborate on course development and improvements.

Skills

Industry experience in AI

Machine learning principles

Interpersonal skills

Equity and inclusion

Education

Master’s degree in a relevant field

Tools

Python

PyTorch

TensorFlow

Job description

Full Time Adjunct Faculty, MS Applied Artificial Intelligence

Posting # 5535 • Position Status: Faculty, Full-time temporary • Location: San Diego • Position Type: Faculty, Shiley-Marcos School of Engineering

The MS-AAI program is one of the few graduate programs in the nation that emphasizes applied, real‑world artificial intelligence, integrating technical depth with ethics, moral responsibility, and AI for social good. Candidates with experience across all areas of artificial intelligence and machine learning will be considered. Preference will be given to candidates with the ability to develop and teach courses in deep learning, computer vision, large language models (LLMs), and agentic AI systems. Applicants with strong industry experience, applied research experience, or prior teaching experience in higher education are especially encouraged to apply.

The Shiley-Marcos School of Engineering at the University of San Diego invites applications for a full‑time adjunct faculty in the Master of Science in Applied Artificial Intelligence (MS-AAI) program, with an appointment beginning in the Spring 2027 semester (January 2, 2027). This is an on‑campus position requiring 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.

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.

Duties and 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.

Special Conditions of Employment

Candidates must be authorized to work in the United States.

Job Requirements

Minimum Qualifications

• 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.

Preferred Qualifications

• 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, including 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.
• Teaching responsibilities include lecturing, designing assignments and projects, grading, providing feedback, and supporting students academically and professionally.

Background check: Successful completion of a pre‑employment background check and drug screen.

Degree Verification Requirement: Persons offered employment in this position will be required to provide official education transcripts for degree verification purposes.

Salary: $5,859 - $7,500 per month; Excellent Benefits. The University offers a competitive benefits package including medical, dental, vision, a retirement contribution, and access to on‑campus fitness centers.

Special Application Instructions

Click the ‘Apply Now’ button to complete our online application.

For full consideration, applicants must submit:

• Cover Letter describing interest in the position, commitment to teaching, and how academic, research, and industry experience align with the MS-AAI program.
• Curriculum Vitae (CV) or Resume, including teaching experience, courses taught, and relevant industry or research background.
• Three professional references with contact information.