Machine Learning Engineer - Multimodal Semantics - Remote

Overview

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.

In Short

• Develop and deploy deep learning models, including vision language models (VLMs) and Large Language Models (LLMs)
• Develop data mining, labeling, training and eval pipelines to support the onboard development
• Collaborate and work in partnership with research teams across Alphabet

Requirements

• BS degree in Computer Science or a similar discipline, or an equivalent amount of deep learning experience
• 3+ years experience with Large Language Models (LLM) or Vision Language Models (VLM)
• Experience with Python
• Hands-on experience with deep learning frameworks such as Jax, PyTorch, Tensorflow

Benefits

• 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.