AI Bootcamp is an initiative to help familiarize Caltech graduate students and researchers with machine learning concepts, tools, and techniques that they can potentially use in making their research more effective and efficient. We run one-week bootcamps that introduce introductory and advanced machine learning topics and include lectures and hands-on sessions. The successful candidate will help organize and operate the AI bootcamps. Essential Job Duties Creating content for AI Bootcamp lecture... more details
Caltech is a world-renowned science and engineering institute that marshals some of the world's brightest minds and most innovative tools to address fundamental scientific questions. We thrive on finding and cultivating talented people who are passionate about what they do. Join us and be a part of the diverse Caltech community.
Job Summary
AI Bootcamp is an initiative to help familiarize Caltech graduate students and researchers with machine learning concepts, tools, and techniques that they can potentially use in making their research more effective and efficient. We run one-week bootcamps that introduce introductory and advanced machine learning topics and include lectures and hands-on sessions. The successful candidate will help organize and operate the AI bootcamps.
Essential Job Duties
Creating content for AI Bootcamp lectures and hands-on sessions (Google Colab).
Researching and summarizing content
Proofreading
Creating slides and graphics
Writing sample code and practice code and descriptions in Google Colab
Managing logistics of the AI Bootcamp.
Helping with setting up the audio/visual
Helping with recording and processing the recorded sessions
Other tasks that can come up over the length of the bootcamp (or during the preparation)
Grading.
Creating and grading quizzes and codes submitted by participants
Attending lectures and hands-on sessions.
Attending hands-on sessions and helping participants with coding and debugging questions
Basic Qualifications
Strong proficiency in Python.
Strong proficiency in building and using Pytorch.
Deep familiarity with Learning Theory and basic ML concepts.
Experience with training and deploying ML models, especially neural networks.
TA experience or other teaching experience.
Preferred Qualifications
Industrial ML experience (or experience building and deploying large scale models used by other programmers).
Familiarity and experience with advance ML systems (GNNs, RL, Foundational Models, Optimization techniques).
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