Applied Scientist Intern, PhD (Summer 2027)
USD 64–68 / hour
- Company
- Lyft
- Location
- San Francisco, CA
- Work mode
- Office location (mode not stated)
- Open to applicants from
- On-site/hybrid: local candidates
- Level
- Fresher / entry
- Employment
- Internship
- Field
- Data & AI / Machine learning & AI
- Stated pay
- USD 64–68 / hour
- Posted
- 2026-09-28 (48 days ago)
- Visa sponsorship mentioned
- Not mentioned
- Listing source
- Greenhouse
LLMMachine learningPython AI / ML engineering & research
About the role
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Lyft Rider Science team is seeking an Applied Scientist intern to develop next-generation user simulation methods using state of the art AI methods. The goal of this project is to develop and validate LLM-based Rider Agents that can serve as behavioral proxies for real riders, and study when agent simulations can provide reliable signal about rider responses to product interventions before online experimentation. You will build agent-based simulation systems grounded in real rider context and behavioral data, evaluate…
Excerpt only. Read the full description and apply at the original posting on Greenhouse. We list jobs from public job-board feeds and do not alter employer content beyond this excerpt.
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