Confidential (Registered Users Only) is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Confidential (Registered Users Only) has focused on building the Confidential (Registered Users Only) Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Confidential (Registered Users Only) Driver powers Confidential (Registered Users Only)’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Confidential (Registered Users Only) Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
Confidential (Registered Users Only)’s Product Data Science team works cross-functionally with Engineering, Product and Operations to help the company make the most informed decisions using data. Our team collaborates on high-impact projects across the company — from driving quality and operational efficiency to market analysis and rider satisfaction scores — we help to safely and efficiently scale the Confidential (Registered Users Only) Driver. We are data-driven, curious, open-minded, and adapt quickly to new information.
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 Confidential (Registered Users Only)'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 Confidential (Registered Users Only) 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.
Confidential (Registered Users Only) employees are also eligible to participate in Confidential (Registered Users Only)’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
Salary Range$230,000—$284,000 USD