Waymo is looking to improve the efficiency of its Marketplace using data-driven decisions, safely and efficiently scale the Waymo Driver, and enhance rider satisfaction scores.
Requirements
Statistical knowledge
Coding skills (Python and SQL)
Experience with Machine Learning
Experience with Reinforcement Learning
Experience with experimentation
Experience with optimization modeling and implementation using solver packages (e.g. CP-SAT, CPLEX, Gurobi, etc…)
Responsibilities
Partner with Engineer, Product and Data Science teams to develop Machine Learning models to improve the efficiency of Waymo’s Marketplace
Apply ML models to predict conversion, wait times, retention and build better understanding of vehicle values in different positions
Apply optimization models to optimize assignment of Waymo cars to customers or positioning locations
Build novel reinforcement learning models that continually iterate over the parameters in pricing, matching and positioning
Define, conduct and evaluate experiments on new models
Other
At least 4 years of industry experience
Hybrid work schedule
Report to a Product Data Science Lead
Participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements
