Waymo
Senior Research Scientist, Foundation Models for Simulation and Planning
Waymo, San Francisco, California, United States, 94199
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 Senior Research Scientist.
You will:
Conduct foundation model research and developmentDesign compelling experiments by training and evaluating large deep learning modelsPresent research results to peers and leadershipWrite high quality code, unit tests, and documentation
You have:
Masters or PhD in deep learning applied to simulation or planning or equivalent years of experiencePython3+ years of experience with modern deep learning frameworks. Prefer TensorFlow 2 or JAX; however, Pytorch is acceptable.
We prefer:
Generative modelingLLMs or VLMsReinforcement LearningVector quantizationTransformer modelsAutoencoders
#LI-HybridThe 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
$192,000
—
$243,000 USD#J-18808-Ljbffr
In this hybrid role, you will report to a Senior Research Scientist.
You will:
Conduct foundation model research and developmentDesign compelling experiments by training and evaluating large deep learning modelsPresent research results to peers and leadershipWrite high quality code, unit tests, and documentation
You have:
Masters or PhD in deep learning applied to simulation or planning or equivalent years of experiencePython3+ years of experience with modern deep learning frameworks. Prefer TensorFlow 2 or JAX; however, Pytorch is acceptable.
We prefer:
Generative modelingLLMs or VLMsReinforcement LearningVector quantizationTransformer modelsAutoencoders
#LI-HybridThe 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
$192,000
—
$243,000 USD#J-18808-Ljbffr