ML Engineer, Foundation Model Evaluation - Remote

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.

In Short

• Develop and extend cutting-edge research in robotics and machine learning.
• Partner within and across organizations to land disruptive and innovative tech in production.
• Work with a variety of state-of-the-art Foundation Models.
• Drive model development through defining evaluation and benchmarks.
• Implement and extend large scale data and evaluation pipelines.

Requirements

• Masters degree in Computer Science, Machine Learning, Robotics, or similar technical field.
• Proficiency in Python.
• Familiarity with modern deep learning frameworks (e.g. Pytorch, JAX, Tensorflow).
• Prior work in an industrial or research setting developing methodologies for the evaluation of ML models.

Benefits

• Eligible for Waymo’s discretionary annual bonus program.
• Equity incentive plan.
• Generous Company benefits program.