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ML Engineer, Perception Foundation Model

ML Engineer, Perception Foundation Model

Posted 434 days ago

Job Description

This job posting has expired and no longer accepting applications.

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.

The mission of the Waymo Applied Research team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of the safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet.

In this hybrid role, you will report to a Research Director

You will:

Lead the effort of model-platform co-optimization for Waymo's perception foundation model
Dive deep to training and inference efficiency on various platforms such as TPU, GPU, and CPU
Collaborate with other teams, such as perception, simulation, and ML infrastructure, to drive the model optimization
Be curious, innovative, and productive

You have:

2+ years of experience with designing or optimizing neural networks using Transformers and ConvNets
Experience on optimizing model efficiency for either large-scale training or inference
Able to learn new models and new frameworks
Experience optimizing ML models

We prefer:

Experience with low-level optimizations, on CPU/GPU/TPU.
Experience with designing or evaluating or optimizing Transformers

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

$158,000—$200,000 USD

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