Senior Applied ML Scientist, Driving Understanding & Evaluation

Job Summary

The Planner Evaluation team at Waymo is seeking experienced data-minded software engineers and data scientists to contribute to the development of metrics for evaluating the Waymo Driver. This role involves using a variety of techniques including statistics, math, physics, algorithms, and machine learning to measure and improve the quality of the software that drives the car.

Responsibilities

• Develop signals to measure the performance and driving qualities of the Waymo driver
• Use simulation creatively and mine real world driving logs to measure driving performance
• Design and implement methods to make a stronger connection between onboard software changes and simulated outcomes
• Champion code health and best practices in a large and complex code base
• Analyze data and make recommendations on how to improve metric quality and interpretability
• Collaborate with other engineers, data scientists, statisticians, and the leadership team to deliver evaluation products and help make data-driven decisions

Requirements

• BS in Computer Science, Robotics, Statistics, Physics, Math, or another quantitative area
• 2-3 years of industry experience with navigating and modifying a large code base containing a variety of languages, such as C++, Python, and SQL
• Performing statistical analyses
• Building data processing pipelines
• Writing, reviewing, and merging code following industry standards for code health and maintainability
• Quantitative/data fluency is a top requirement

Preferred Qualifications

• Experience coding in C++
• Experience with ML
• Experience with A/B experiment infrastructure
• Experience building and validating metrics to measure quality in complex systems
• Exposure to ad-hoc data analysis tools for rapid modeling and prototyping
• Experience working in the AV industry