Description
Caltech
Job Category: Fulltime 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 will work on a project studying whether large language models (LLMs) make choices in simple strategic games like humans do. Involves knowledge of LLM and human behavioral data previously collected. Research Assistant is also expected to assist on special occasions with teaching needs related to the research requirements (CNS102c) and prepare grant and seminar materials.
Essential Job Duties
- Carefully follow instructions, submit post-meeting notes on Slack, conscientiously post on Slack 1-3x/week on progress.
- Code review and assist in code review of own code by others (carefully annotated so an outside reviewer does not need help to understand code and reproduce results).
- Draft sections of papers describing technical methods.
- Draft basic results expressed in tables and graphs.
- Present results at all phases (early, mid, late) in both internal team meetings and in high-profile professional conferences.
- Keep team appraised of updated papers and technical improvements in all LLMs on a quarterly basis.
Basic Qualifications
- BA or equivalent.
- Knowledge of R, Python, web scraping.
- Knowledge and experience in LLM prompt engineering.
Preferred Qualifications
- Some knowledge of NLP (e.g. college coursework).
- Background and interest in game theory.
- Background and interest in very modern SOA LLMs.
Required Documents
- Resume.
To be considered for this position please visit our web site and apply on line at the following link: https://hr.caltech.edu/work/job_openings
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.
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