L
Hybrid
Applied Scientist Intern, PhD (Summer 2027)
Lyft
Overview
Develop LLM-based Rider Agents that represent heterogeneous rider contexts, preferences, histories, and behaviors Build agent-based simulation environments for evaluating rider interactions with different product experiences and interventions
Benefits, from the posting itself
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medical, dental, and vision insurancereceipt ⟳
“Great medical, dental, and vision insurance options”
mental health benefitsreceipt ⟳
“Mental health benefits”
2 paid time off, 3 sick timereceipt ⟳
“In addition to holidays, interns receive 2 days paid time off and 3 days sick time off”
401(k) planreceipt ⟳
“401(k) plan to help save for your future”
subsidized commuter benefitsreceipt ⟳
“Subsidized commuter benefits”
Key Responsibilities
- Develop LLM-based Rider Agents that represent heterogeneous rider contexts, preferences, histories, and behaviors
- Build agent-based simulation environments for evaluating rider interactions with different product experiences and interventions
- Build evaluation pipelines to assess realism, robustness, and mechanism plausibility of simulated behavior against human data or established theory
- Analyze emergent behaviors and interaction dynamics in simulated populations under different user segment and marketplace conditions
- Conduct experiments and ablation studies on agent behavior, interaction dynamics, and simulation validity
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