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Machine Learning Engineer, AI Foundations Join to apply for the Machine Learning Engineer, AI Foundations role at Waymo
Machine Learning Engineer, AI Foundations
Join to apply for the Machine Learning Engineer, AI Foundations role at Waymo
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 DriverThe World's Most Experienced Driverto improve access to mobility while saving thousands of lives now lost to traffic crashes. 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. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation.
This role can be based out of the Oxford or London, UK office and the work modality is hybrid. Staff Machine Learning Engineer.
Work with a creative team of people who help to design, train, and evaluate the large-scale ML models that are used throughout Waymos systems, both onboard autonomous vehicles and offboard in simulation
Frame open-ended real-world problems as well-defined ML problems; develop and apply cutting-edge ML approaches (deep learning, reinforcement learning, imitation learning, etc) to these problems; scale them to Google-sized data pipelines; and streamline them to run in real-time on the cars
Collaborate with other teams including the ML infrastructure, data science and systems engineering teams, as well as various research teams such as Waymo Research, Google Brain, DeepMind and academia
Good programming skills - Python, JAX, TensorFlow/PyTorch
Strong statistical / ML knowledge
C++ experience
ML infra experience: training and evaluating ML models at scale
The expected base salary range for this full-time position 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. Waymo employees are also eligible to participate in Waymos discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
Seniority level Entry level

Employment type Full-time

Job function Engineering and Information Technology
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Location:
London
Job Type:
FullTime

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