Waymo

Staff Machine Learning Engineer, Simulation

Waymo$251K — $310K *
Transportation
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • BS in Computer Science, Robotics, Statistics, Physics, Math or equivalent experience
  • 5+ years of experience in productionized ML models
  • Proficiency in Python and C++ for production systems
  • Expertise in applied Deep Learning
  • Demonstrated success in enhancing model quality

Responsibilities

  • Report to the TLM for the Learned Metrics Team
  • Develop machine learning models to evaluate vehicle behavior
  • Create ML infrastructure to support optimal model performance
  • Collaborate with cross-functional teams to implement advanced technologies
  • Produce training and evaluation data for the Waymo driver

Benefits

  • Participation in Waymo's annual bonus program
  • Eligibility for equity incentive plan
  • Access to a generous company benefits program
Full Job Description
The Driver Understanding and Evaluation team at Waymo develops a rich understanding of Waymo Driver's behavior. With over 1 million driverless miles per week, it is critical that Waymo can understand and assess the behavior of all its vehicles - both in the field and in simulation - with automated algorithms. The learned metrics team is a strategic bet to use machine learning to ensure we can scale to meet Waymo's goals. We collaborate across teams to bring ML to production systems and build what is Waymo's reward function. We build and operate large-scale machine learning and data systems, simulation workflows, and insight tools. We combine expert human judgements and advanced machine learning models to deliver training and evaluation data for the Waymo driver. We are looking for researchers and software engineers who are passionate about developing production grade machine learning systems for our autonomous vehicles and have an incessant drive to improve the performance of our technology stack.

In this hybrid role, you will report to an Engineering Manager

You will:
  • Report into the TLM for the Learned Metrics Team
  • Develop ML models that assess our autonomous vehicle's behavior.
  • Develop ML infrastructure to support performant models.
  • Collaborate across teams to bring state-of-the-art to production.

You have:
  • BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area, or equivalent work experience
  • 5+ years of experience building productionized ML models
  • Code and design skills: comfort building production systems (Python / C++)
  • Background in applied Deep Learning
  • A track record in improving model quality

We prefer:
  • 8+ years of experience building productionized ML models
  • Experience in reinforcement learning, transfer learning, or learning.
  • Experience with large scale data and models


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

$251,000-$310,000 USD

About Waymo

Waymo LLC is a self-driving technology development company. It is a subsidiary of Alphabet Inc., the parent company of Google. Waymo develops autonomous driving technology and provides ride-hailing services through its Waymo One program. The company has been testing its self-driving technology on public roads since 2009 and has logged millions of miles of autonomous driving. Waymo has partnerships with several automakers and has been working on developing autonomous trucks for use in logistics.
Learn more about Waymo
Size
2,000 employees
Industry
Founded
2009

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