The opportunity
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.
What you'll do
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
Apply the simulation framework to real Rider product problems and assess its: usefulness for hypothesis generation, product iteration, and pre-experiment evaluation
What they're looking for
- Communicate technical findings and recommendations to science, engineering, and product partners
- Currently pursuing a PhD degree in Computer Science, Machine Learning,: Artificial Intelligence, Data Science, or a related technical field, with a graduation date between December 2027 and Summer 2028 (required)
- Proficiency with Python and working in a production coding environment
- Hands-on experience with large language models or agent-based systems
