About this role

Waymo is hiring a mid-level Machine Learning Engineer based in London, United Kingdom. The posting calls out experience with Python, TensorFlow, LLMs, Deep Learning and roughly 5+ years of relevant work. Listed education preference: a master's degree or equivalent. Compensation is listed at £120,000–£130,000 per year.

Role: Machine Learning Engineer
Function: machine learning
Level: mid
Track: Individual contributor
Employment: Full-time
Location: London, United Kingdom
Experience: 5+ years
Education: Master's degree
Department: Simulation (7XW)

AI Summary

Build scalable ML systems for autonomous driving evaluation, including generative models for driving behavior simulation, reinforcement learning algorithms, and deep learning solutions for anomaly detection. Requires M.S./Ph.D. in CS/ML and 5+ years developing RL models with expertise in deep learning and sequence modeling.

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Job description

from Waymo careers

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 DUE ML Core London team builds and operates scalable machine learning systems, simulation workflows, and insight tools designed to improve the evaluation and developer onboarding journeys. By combining expert human judgment with advanced machine learning models, we deliver training and evaluation data for hundreds of metrics and components that comprise the Waymo Driver.

We are looking for researchers and software engineers passionate about developing ML techniques for evaluation systems and driving performance improvements across our technology stack.

You will:

Build scalable systems for training and fine-tuning large-scale generative models to produce realistic and evaluate interesting driving behaviors.

This is an excerpt. Read the full job description on Waymo careers →

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