2022-09-26 Waymo

Software Engineer, Perception - Machine Learning Evaluation

Mountain View, California, United States

Waymo is an autonomous driving technology company with a mission to make it safe and easy for people and things to get where they’re going. Since our start as the Google Self-Driving Car Project in 2009, Waymo has been focused on building the Waymo Driver—The World’s Most Experienced Driver™—to improve everyone's access to mobility while saving thousands of lives now lost to traffic crashes. Our Waymo Driver powers Waymo One, our fully autonomous ride-hailing service, as well as Waymo Via, our trucking and local delivery service. To date, Waymo has driven over 20 million miles autonomously on public roads across 25 U.S. cities and conducted over 20 billion miles of simulation testing.

Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you’re a software engineer or researcher who’s curious and passionate about Level 4 autonomous driving, we'd like to meet you. 

The Perception team at Waymo develops cutting-edge technologies and machine learning models to enable our self-driving cars to make sense of the world. This requires detection, recognition, tracking and understanding of all relevant objects around the vehicle. It is vital to perform these tasks precisely for safe navigation in complex traffic scenarios, and so we rely on a diverse set of sensors including LIDARs, cameras and radars.

We are looking for engineers who are passionate about the evaluation problem in the large-scale machine learning system. In this role, you will be tasked to improve the evaluation pipelines in Waymo perception to support onboard engineers in both regression prevention and quality hillclimbing. 

At a minimum, we’d like you to have:

  • B.Sc. in Computer Science, or a related field.
  • Strong C++ and/or Python programming skills.
  • Experience working with ML models and modeling infrastructure
  • Experience shipping production software in a team environment

It’s preferred if you have one or more of the following:

  • M.S. or Ph.D. degree Computer Science or related quantitative field with a specialization of machine learning.
  • 2+ years experience developing infrastructure for large-scale data processing and analysis, data visualization.
  • 1+ year experience with Computer Vision evaluation pipelines, and automated framework for ML approaches.
  • Experience working with autonomous vehicles

Note: The following is only applicable for roles hired in the US. As we keep the safety of our employees and our communities top of mind, COVID-19 vaccinations continue to be a critical prevention measure to help end the pandemic.  Because of this, Waymo requires all US-based employees who perform work onsite for Waymo to be fully vaccinated against COVID-19. If you are unable to be vaccinated, Waymo will provide a reasonable accommodation consistent with applicable law.

We appreciate your interest in Waymo. Waymo is an equal employment opportunity employer, committed to maintaining a supportive and inclusive workplace for all employees. Waymo does not discriminate against, and prohibits harassment of, any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, disability, military status, genetic information or any other basis protected by applicable law. Waymo will also consider for employment qualified applicants with criminal records in accordance with applicable law. Waymo is committed to ensuring equal opportunity for qualified individuals with disabilities. If you are an individual with a disability and require an accommodation to participate in the application or interview process, please let the recruiting team know or email waymo-candidatesupport@google.com. (This email address is intended to be used only for requesting accommodations as part of the application process. Other inquiries will not receive a response.)

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