Machine Learning Engineer • Senior

Who you are

You have 5+ years of experience in machine learning and data analysis, with a strong background in developing scalable models and algorithms. Your expertise in Python and TensorFlow allows you to efficiently handle large datasets and extract meaningful insights from them. You are familiar with the complexities of real-world data and understand how to optimize models for performance in autonomous systems.

You possess a deep understanding of machine learning principles and have experience applying them to real-world problems. Your analytical skills enable you to dissect complex data sets and derive actionable insights that drive improvements in system performance. You are a collaborative team player who enjoys working with cross-functional teams to integrate machine learning solutions into larger systems.

What you'll do

In this role, you will develop methods for efficiently and continuously learning from large-scale real-world data collected from Waymo's autonomous vehicles. You will work closely with the Perception team to build systems that can analyze and interpret the surrounding environment of the vehicle. Your responsibilities will include developing models and training them at scale, as well as optimizing these models for both onboard and offboard hardware.

You will collaborate with research teams at Alphabet to address real-world challenges and contribute to the advancement of autonomous driving technology. Your work will directly impact the performance and reliability of the Waymo Driver, enhancing its ability to navigate complex environments safely and efficiently.

What we offer

Waymo provides a competitive salary range of $204,000—$259,000 USD, along with eligibility for an annual bonus program and equity incentive plan. You will also enjoy a comprehensive benefits package designed to support your well-being and professional growth. Join us in our mission to improve access to mobility and save lives through innovative technology.