Adjunct Associate Faculty, Applied Generative AI (On-Campus, Fall '26)

Columbia University; New York (NY); On-site; USD 22,320 - 33,480; Part time

Job summary

Columbia University is seeking an Adjunct Associate Faculty for Applied Generative AI in New York for Fall '26. This part-time role involves leading discussions, grading, and assisting with class instruction. Candidates must have a graduate degree in a related field and over 3 years of professional experience.

Preferred skills include Python programming and knowledge of deep learning architectures. The salary range is $2,000 - $3,000 per semester-long course.

Qualifications

• Graduate degree in an area related to Machine Learning, Computer Science, Applied Mathematics, or related field.
• 3+ years of related applied professional experience.

Responsibilities

• Attend all class sessions.
• Assist with instruction.
• Lead breakout sessions.
• Facilitate discussions.
• Evaluate, grade student work and assessments as requested.
• Monitor student concerns and inquiries.

Skills

Python programming

Deep learning frameworks (PyTorch, TensorFlow)

Knowledge of CNNs, VAEs, GANs, RNNs

Cloud deployment (AWS, GCP, Azure)

Mathematics and Probability concepts

Education

Graduate degree in Machine Learning, Computer Science, Applied Mathematics

Job description

Adjunct Associate Faculty, Applied Generative AI (On-Campus, Fall '26)

• Part-time
• Employee Job Category: Faculty Job
• Term: 2026 FALL
• Role: Associate, Part-time
• Department: Applied Analytics
• Division: Masters
• Program: Applied Analytics
• Academic Program: APAN

Responsibilities

• Attend all class sessions
• Assist with instruction
• Lead breakout sessions
• Facilitate discussions
• Evaluate, grade student work and assessments as requested by the course Lecturer
• Monitor and address student concerns and inquiries

Requirements

• Graduate degree in an area related to Machine Learning, Computer Science, Applied Mathematics, or related field
• 3+ years of related applied professional experience

Preferred Skills & Experience

• Programming experience in Python and experience with major deep learning frameworks such as PyTorch or TensorFlow
• Knowledge of deep learning architectures, such as CNNs, VAEs, GANs, and RNNs
• Experience with deploying code on cloud platforms such as AWS, GCP, or Azure
• Knowledge of Mathematics and Probability concepts used in machine learning, including Optimization, Gradient Descent, Conditional Probability, Bayes Theorem, and Normal Distribution

Salary range: $2,000 - $3,000 per semester long course

All your information will be kept confidential according to EEO guidelines.

Columbia University is an Equal Opportunity Employer / Disability / Veteran