Waymo
Overview
Waymo is an autonomous driving technology company with the mission to be the world's 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's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of 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. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation.
In this hybrid role, you will report to a Staff Research Scientist.
Responsibilities
Design and implement generative world modeling solutions
to simulate future world states / observations for embodied agents (autonomous vehicles)
Develop and maintain scalable data pipelines
to process data from multiple sources
Design and implement evaluation strategies
for generative world models
Study and analyze different behaviors
of this model, such as scaling efficacy, downstream quality implications, model architecture design ablations, etc
Technical communication
to both technical and non-technical audiences regarding research motivations and research findings
Conduct cutting-edge research
and potentially communicate research findings to the wider academic community via technical reports and/or publications
Qualifications
Bachelors or Masters degree
in Computer Science, Artificial Intelligence, Machine Learning, Deep Learning, or in a similar discipline or equivalent practical experience
3+ years of experience
with Deep Learning and Generative Models
Familiarity with major ML Frameworks
(JAX, Tensorflow, Pytorch)
Strong coding skills in Python
Preferred Qualifications
PhD degree
in Computer Science, Artificial Intelligence, Machine Learning, Deep Learning, or in a similar discipline or equivalent practical experience
Publications at top-tier conferences
like CVPR/ICCV/ECCV/ICLR/ICML/NeurIPS/IROS/CoRL etc.
Substantial involvement in and contributions to high impact industry AI projects
Experience in generative models
for domains such as world models, images, videos, 3D, human animation, traffic, and/or simulation using techniques such as diffusion or autoregressive model
Compensation 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 $170,000 — $216,000 USD #J-18808-Ljbffr
The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of 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. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation.
In this hybrid role, you will report to a Staff Research Scientist.
Responsibilities
Design and implement generative world modeling solutions
to simulate future world states / observations for embodied agents (autonomous vehicles)
Develop and maintain scalable data pipelines
to process data from multiple sources
Design and implement evaluation strategies
for generative world models
Study and analyze different behaviors
of this model, such as scaling efficacy, downstream quality implications, model architecture design ablations, etc
Technical communication
to both technical and non-technical audiences regarding research motivations and research findings
Conduct cutting-edge research
and potentially communicate research findings to the wider academic community via technical reports and/or publications
Qualifications
Bachelors or Masters degree
in Computer Science, Artificial Intelligence, Machine Learning, Deep Learning, or in a similar discipline or equivalent practical experience
3+ years of experience
with Deep Learning and Generative Models
Familiarity with major ML Frameworks
(JAX, Tensorflow, Pytorch)
Strong coding skills in Python
Preferred Qualifications
PhD degree
in Computer Science, Artificial Intelligence, Machine Learning, Deep Learning, or in a similar discipline or equivalent practical experience
Publications at top-tier conferences
like CVPR/ICCV/ECCV/ICLR/ICML/NeurIPS/IROS/CoRL etc.
Substantial involvement in and contributions to high impact industry AI projects
Experience in generative models
for domains such as world models, images, videos, 3D, human animation, traffic, and/or simulation using techniques such as diffusion or autoregressive model
Compensation 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 $170,000 — $216,000 USD #J-18808-Ljbffr