This role follows a hybrid work schedule and you will report to a Product Data Science Lead
You will:- 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
You have:- 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
We prefer:- 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
The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
Salary Range
$230,000-$284,000 USD
