Waymo is looking to implement and scale the core economic engine that powers its autonomous ride-hailing services, impacting trip booking, vehicle matching, and pricing to ensure a seamless and efficient user experience.
Requirements
- Minimum of 2 years of experience developing large-scale infrastructure and distributed systems
- At least 2 years of experience building and deploying production ML models
- Proficiency in programming languages such as C++ and Python
- Strong understanding of machine learning principles, model deployment, and evaluation
- Experience with data processing, debugging, and fine-tuning ML models
- Experience with experimentation, monitoring, and analysis infrastructure for deployed models
Responsibilities
- Implement and scale the core economic systems for Waymo's ride-hailing services, including trip booking, vehicle matching, and pricing
- Develop and maintain ML infrastructure for training, deploying, and updating predictive and optimization models in real-time
- Create and enhance experimentation, monitoring, and analysis tools to evaluate ongoing model performance
- Ensure seamless integration of ML models into the operational environment, maintaining high availability and performance
- Participate in code reviews, documentation, and best practices for scalable ML system development
- Stay updated with the latest advancements in ML and infrastructure technologies, applying them to improve existing systems
Other
- BS degree in Computer Science, Engineering, or a related field, or equivalent practical experience
