Adjunct Associate Faculty, Applied Deep Learning and AI (On-Campus, Fall '26)

Columbia University • New York, NY

3d • Onsite

About The Position

The Applied Analytics program is seeking data analytics professionals to serve as a part-time Associate for a graduate-level course called Applied Deep Learning and AI. This advanced course delves into deep learning, blending key elements from Statistical Machine Learning. Students will gain a solid foundation in supervised learning and other related algorithms and methods. Topics covered include Support Vector Machines, Neural Networks, Convolutional Neural Networks (CNN), word embeddings, attention mechanisms, transformers, encoder-decoder architectures, Generative Adversial Networks (GAN), and Reinforcement Learning. Practical applications will demonstrate how to prepare, train, test, and validate models.

An Associate is a faculty line junior to a Lecturer, that provides subject matter expertise and supports the instructional process for a course section. Serving as an Associate is an outstanding way to gain exposure to graduate-level teaching at Columbia University.

Requirements

• Graduate degree in Computer Science, Data Science, or a related field (Completing relevant coursework such as Deep Learning, Machine Learning, and Statistics courses).
• Proficient in Python and familiar with deep learning frameworks (e.g., TensorFlow, PyTorch).
• Deep Learning Knowledge: Strong understanding of CNNs, RNNs, LLMs, Reinforcement Learning, and model evaluation techniques.
• Hands-on experience with deep learning projects and data manipulation.
• 3 years of professional experience in a role related to applied analytics

Nice To Haves

• Strong verbal and written skills for explaining concepts clearly.
• University teaching experience in related subjects

Responsibilities

• Attend all on-campus 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
• Conduct office hours.

What This Job Offers

• Job Type: Part-time
• Number of Employees: 5,001-10,000 employees