Software Engineer, Statistical Evaluation and Sampling

Waymo•Mountain View, CA

13d•$170,000 - $216,000•Remote

About The Position

Waymo's Release Evaluation org ensures that each version of the Waymo Driver is safe before it hits the road. We build automated pipelines to solve the long tail of rare and exceptional scenarios in autonomous driving, looking for needles in a haystack under both time and resource constraints. Within Release Evaluation, the Sampling and Efficiency team applies importance sampling techniques and machine learning to maximize the statistical efficiency of these discovery pipelines.

Requirements

BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area
Fluency with probability and statistics
Strong self-motivation to navigate complex systems and pursue open-ended problems to completion
2-3 years of 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

Nice To Haves

Experience programming in C++
Experience developing and evaluating sampling methods
Experience designing, training, evaluating, and applying ML models
Experience working in the AV industry
PhD in a quantitative field

Responsibilities

Develop importance sampling techniques that enable our evaluation pipelines to deliver better signals with fewer resources.
Find signals in our logs and simulations that might help us to more efficiently discover rare and important events.
Build systems that systematically optimize multiple objectives under resource constraints.
Collaborate with other engineers, data scientists, statisticians and the leadership team to deliver evaluation products and help make data driven decisions.
Champion code health and best practices in a large and complex code base