Scientific Research Technician - Caltech : Job 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

This position involves performing scientific research work in testing ways to improve Machine Learning performance in a wide range of problems based on learning from hints, in particular, the use of virtual examples and dynamic schedules. The successful candidate will collaborate with the Abu Mostafa Research Group on this short-term project.

• Organize, plan, and conduct complex theoretical and experimental research in the use of hints in Machine Learning.
• Apply scientific knowledge to develop the full algorithm for using Generative Adversarial Networks to generate virtual examples for training neural-network models.
• Investigate, analyze, and interpret the use of dynamic schedules in learning from hints.
• Utilize Kaggle competitions to test the algorithm's performance.

Basic Qualifications

• Bachelor's degree in Computer Science or related field.
• Thorough technical/scientific expertise in Machine Learning theory and algorithms.
• Advanced Machine Learning project experience.

Preferred Qualifications

• Knowledge and proficiency in Python programming.
• Facility with Caltech's High-Performance Computing.

Required Documents

• Resume

$23.50 to $30.25 per hourThe salary of the finalist(s) selected for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, specialty and training.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, or national origin, disability status, protected veteran status, or any other characteristic protected by law.