Demo

Director of Engineering, Machine Learning

Waymo
San Francisco, CA Full Time
POSTED ON 2/9/2025
AVAILABLE BEFORE 5/7/2025

Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13 U.S. states.

Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13 U.S. states.

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.

In this hybrid role, you will report to a Director in Machine Learning.

You will :

  • Push forward on the state of the art of deep learning to solve extremely challenging real world robotics problems that is already driving at large scale.
  • Manage multiple teams of world class machine learning software engineers
  • Drive the short term and long term technical vision in a space where the long term is an open research problem
  • Develop a strong collaborative relationship with peers spanning across the entire company

You have :

  • Deep learning expertise, including recent innovation in large pre-trained foundational models and architecture performance optimizations
  • PhD in ML, specifically with a deep-learning focus
  • 4 years of experience managing large teams (50 people) in complex, fast growth environments
  • Strong track record in designing org structures and growing people
  • Execution mindset and skills in a fast paced environment
  • We prefer :

  • Experience in ML infrastructure, and how to build a culture with sustainable engineering practices
  • Managed organizations (100 people)
  • Led an organization through a time of technical or product change
  • Experience co-developing closely with research teams
  • A strong publication record
  • LI-Hybrid

    The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

    Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

    Salary Range

    323,000-$410,000 USD

    Salary : $323,000 - $410,000

    If your compensation planning software is too rigid to deploy winning incentive strategies, it’s time to find an adaptable solution. Compensation Planning
    Enhance your organization's compensation strategy with salary data sets that HR and team managers can use to pay your staff right. Surveys & Data Sets

    What is the career path for a Director of Engineering, Machine Learning?

    Sign up to receive alerts about other jobs on the Director of Engineering, Machine Learning career path by checking the boxes next to the positions that interest you.
    Income Estimation: 
    $35,212 - $45,975
    Income Estimation: 
    $61,909 - $89,672
    Income Estimation: 
    $42,610 - $57,400
    Income Estimation: 
    $43,683 - $65,338
    Income Estimation: 
    $48,926 - $68,588
    Income Estimation: 
    $99,398 - $137,993
    Income Estimation: 
    $164,827 - $217,349
    View Core, Job Family, and Industry Job Skills and Competency Data for more than 15,000 Job Titles Skills Library

    Job openings at Waymo

    Waymo
    Hired Organization Address Mountain View, CA Full Time
    Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the...
    Waymo
    Hired Organization Address Mountain View, CA Intern
    Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the...
    Waymo
    Hired Organization Address Phoenix, AZ Full Time
    Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the...
    Waymo
    Hired Organization Address Walla Walla, WA Full Time
    Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the...

    Not the job you're looking for? Here are some other Director of Engineering, Machine Learning jobs in the San Francisco, CA area that may be a better fit.

    Director, Machine Learning Engineering

    The Walt Disney Company, San Francisco, CA

    Director, Machine Learning Engineering

    Hulu, San Francisco, CA

    AI Assistant is available now!

    Feel free to start your new journey!