Machine Learning Engineer, Marketplace Pricing
Mountain View, CA, San Francisco, CA$175k - $215kFull-timePosted 3mo ago
About the role
Machine Learning Engineer focused on dynamic pricing for Waymo Marketplace. Responsible for implementing and scaling the core dynamic pricing engine, developing ML models and optimization algorithms for real-time pricing, and building pricing infrastructure.
Responsibilities
- Implement and scale Waymo's core dynamic pricing engine to drive revenue and business strategy across all operating markets.
- Develop and deploy sophisticated ML models and optimization algorithms to set real-time pricing that balances supply, demand, and user price sensitivity.
- Build and maintain infrastructure for pricing experimentation, monitoring, and analysis to ensure service competitiveness and fleet profitability.
- Partner with product data scientists to productionize innovative pricing models, such as route-specific and session-based pricing solutions.
Qualifications
- BS degree in Computer Science or equivalent practical experience
- 4+ years of experience programming in backend coding languages
- Experience in building backend distributed system
- Experience in developing machine learning/optimization infrastructure and pipelines
- Prior experience building and deploying ML / Optimization models into production environments
Skills
Required:Backend programmingMachine learning / optimization
Benefits
- 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.
Last updated Oct 22, 2026. Interested? Apply on the company site.
About Waymo
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