Waymo

Staff Product Data Scientist, Marketplace ML

Mountain View, CA, USA; San Francisco, CA, USA . Posted 13 days ago

The role

You will partner with Engineering, Product, and Data Science to build ML models that improve marketplace efficiency. You will build models for conversion, wait times, retention, and vehicle value, and develop reinforcement learning models for pricing and matching.

What you will do

  • Partner with Engineering, Product, and Data Science to build ML models that improve the efficiency of Waymo's marketplace
  • Build models that predict conversion, wait times, and retention, and estimate the value of a vehicle in different positions
  • Apply forecasting models for demand and supply time series
  • Develop novel reinforcement learning models that continuously tune pricing, matching, and positioning parameters
  • Design, run, and evaluate experiments for new models
  • Present findings and recommendations to Waymo leadership on a regular basis

Required qualifications

  • 8+ years of industry experience applying ML to production problems
  • Strong foundation in algorithms
  • Proficiency in Python and SQL
  • Hands-on experience building and deploying ML and neural network models
  • Experience applying reinforcement learning to real-world systems

Nice to have

  • Experience building neural networks in TensorFlow, or JAX
  • Experience at a ride-hailing or two-sided marketplace company
  • MS or PhD in Computer Science, Statistics, Operations Research, or a related field

Benefits

  • discretionary annual bonus program
  • equity incentive plan
  • generous Company benefits program

About the company

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases.

Staff Product Data Scientist, Marketplace ML at Waymo | JobZoey