Applied Scientist Intern, PhD (Summer 2027)
Mobility · 28 postings open
- Location: San Francisco, CA
- Pay: Pay not stated
- Posted: Posted
About the role
The Rider Science team develops advanced user simulation methods. The applied scientist intern builds agent-based simulation systems using LLMs to mimic rider behavior. This involves evaluating simulation accuracy and exploring how simulations can speed up product testing and development.
Our summary of the posting; the original is on the Lyft careers page.
What the posting requires
- Required
- Python
- Machine learning
- Empirical model evaluation
- Prototypes
- Open-ended problems
- PhD
- Computer Science
- Artificial Intelligence
- Data Science
- Production coding
- Preferred
- A/B testing
- LLM prompting
- Causal inference
- LLM tool use
- Experimental design
- LLM memory
These tags are our reading of the posting. They can miss something; the original posting is the reference.
Do you qualify?
Each requirement checked against your resume, in about a minute. No account. Your resume is deleted when the verdict appears.