Research Assistant

Research Assistant

Caltech

Job Category: Parttime Temporary

Exempt Overtime Eligible: Overtime Eligible

Benefits Eligible: Benefit Based

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

The Research Assistant in AI foundations will work in Yisong Yue's lab at Caltech, a mission-driven multi-disciplinary environment creating cutting-edge AI methods and applying them to a wide range of scientific domains, ranging from neuroscience, space missions, protein engineering, AI for math, AI for engineering, climate science, and smart infrastructure.

Essential Job Duties

• Maintaining quality control standards to preserve the integrity of data and findings.
• Scheduling and conducting interviews.
• Selecting a place to conduct interviews and getting permission from all participants.
• Analyzing data using various statistical methods.
• Writing reports to summarize data and the implications of the results.
• Researching information.
• Gathering accurate, credible information on a subject.
• Summarizing findings to support senior research staff.
• Browsing archives for information.
• Completing literature reviews.
• Preparing scientific equipment or setting up experiments to test hypotheses.
• Recording data or collecting samples in order to track the progress of experiments over time.
• Creating graphs, charts, tables, and other visual representations of data.
• Planning research projects.
• Writing proposals and grant applications.
• Developing statistical models.
• Analyzing data.
• Producing reports.
• Presenting research findings.

Basic Qualifications

• Bachelor's degree in Computer Science, AI, Applied Math, or a related field.
• 3 years of relevant scientific research experience.
• Strong mathematical fundamentals and algorithm skills or experience.
• Excellent programming, debugging, performance analysis, and test design skills.
• Ability to work independently.
• Excellent communication and documentation habits.

Preferred Qualifications

• Master's in Computer Science, AI, Applied Math, or a related field.
• Moderate research project experience doing performance analysis and tuning.
• Moderate research project experience training large-scale foundation models, especially pipeline/model parallelism.
• Track record of creating HPC software for numerical methods.
• Domain expertise in areas like computational fluid dynamics, material deformation, wave propagation, etc.
• Familiarity with containers, numeric libraries, modular software design.
• Experience doing performance analysis and tuning.
• Excellent C/C++ and Python programming skills.
• GPU programming would be welcome (CUDA).

Required Documents

• Resume

To be considered for this position please visit our web site and apply on line at the following link: https://apptrkr.com/6719848

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