Qualifications
Columbia University School of Professional Studies operates under a scholar-practitioner faculty model that empowers students to learn from faculty with exemplary academic backgrounds and proven accomplishments in applied industry settings.Requirements:Possession of a graduate degree in a field related to Machine Learning, Computer Science, Applied Mathematics, or a similar discipline.A minimum of 3 years of relevant applied professional experience.Preferred Skills & Experience:Proficiency in programming with Python and familiarity with major deep learning frameworks such as PyTorch or TensorFlow.Understanding of deep learning architectures, including CNNs, VAEs, GANs, and RNNs.Experience deploying applications on cloud platforms like AWS, GCP, or Azure.Strong foundation in Mathematics and Probability concepts utilized in machine learning.
About the job
Columbia University seeks experienced analytics professionals to join as part-time Associate Faculty for a graduate-level course in Applied Generative AI. This role, which is junior to a Lecturer, involves providing expert insights and supporting the instructional process for a specific course section. Taking on this position offers a remarkable opportunity to engage with graduate-level teaching at Columbia University.
The Applied Generative AI course introduces students to generative modeling, a key area of machine learning, emphasizing foundational concepts, theoretical techniques, and real-world applications. Participants will gain skills in utilizing, fine-tuning, and programmatically interacting with high-level APIs and open-source foundational models, enabling them to harness cutting-edge tools in Generative AI. Furthermore, the course covers the theory and practice of low-level implementations, allowing students to train their own models on proprietary data and comprehend these models from first principles. The curriculum encompasses various generative models, including Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), and Transformers, along with their applications in text, image, audio, and video generation.
Key Responsibilities
Attend all class sessions, support instruction, lead breakout discussions, and facilitate student engagement.
Assess and grade student submissions and evaluations as directed by the course Lecturer.
Monitor and respond to student inquiries and concerns.
About Columbia University
Columbia University has been at the forefront of higher education both nationally and internationally for over 250 years. Our commitment to fostering academic inquiry is anchored in attracting and engaging the brightest minds to advance human understanding, drive pioneering discoveries, and serve society effectively.The School of Professional Studies at Columbia University offers innovative and rigorous programs that transcend disciplinary boundaries, merging theory with practical application, leveraging the diverse expertise of our students and faculty, and connecting with global communities. Through seventeen professional master's degrees, advancement courses, graduate school preparation, certificate programs, summer courses, high school programs, and English language learning initiatives, the School of Professional Studies transforms knowledge and understanding for the greater good.