Machine Learning Engineer • Staff

Who you are

You have extensive experience in machine learning and sensor fusion, with a strong background in developing algorithms that enhance perception systems. Your expertise in deep learning allows you to tackle complex challenges in autonomous driving technology, ensuring the Waymo Driver can accurately perceive its environment. You are proficient in Python and have a solid understanding of robotics and decision-making processes. You thrive in collaborative environments, working closely with hardware and systems engineers to integrate software solutions effectively.

You are passionate about advancing autonomous driving technology and have a keen interest in applying cutting-edge research to real-world problems. Your curiosity drives you to explore innovative approaches, and you are comfortable working with large datasets and complex models. You understand the importance of safety and reliability in autonomous systems and are committed to delivering high-quality solutions that enhance user experience.

Desirable

Experience with generative AI techniques would be a plus, as well as familiarity with the latest advancements in machine learning frameworks. You may have contributed to open-source projects or published research in relevant fields, showcasing your commitment to the machine learning community.

What you'll do

In this role, you will lead efforts in developing and optimizing sensor pipelines that are critical for the perception capabilities of the Waymo Driver. You will collaborate with cross-functional teams to design and implement machine learning models that improve detection accuracy and response times in various driving scenarios. Your work will involve analyzing data from multiple sensors, applying sensor fusion techniques, and ensuring that the algorithms you develop can operate effectively in real-time environments.

You will also engage in research and development activities, exploring new methodologies and technologies that can enhance the performance of the Waymo Driver. This includes experimenting with generative AI approaches to address challenges such as collision detection and sensing occlusions. You will be responsible for conducting experiments, analyzing results, and iterating on your designs to achieve optimal outcomes.

As a Staff Machine Learning Engineer, you will mentor junior engineers and contribute to the growth of the team by sharing your knowledge and expertise. You will participate in code reviews, provide feedback on best practices, and help shape the technical direction of projects. Your contributions will directly impact the safety and efficiency of autonomous driving systems, making a meaningful difference in the mobility landscape.

What we offer

Waymo offers a competitive salary range of $238,000—$302,000 USD, along with eligibility for an annual bonus program and equity incentive plan. You will be part of a mission-driven company that is dedicated to improving access to mobility and saving lives through innovative technology. Our team is composed of talented individuals who are passionate about their work and committed to pushing the boundaries of what is possible in autonomous driving.

We provide a supportive work environment that encourages collaboration and continuous learning. You will have access to resources and opportunities for professional development, allowing you to grow your skills and advance your career. Join us at Waymo and be part of a team that is shaping the future of transportation.