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Machine Learning Infrastructure Engineer - Remote

Posted 3 weeks ago

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

  • Report into our Head of ML Inference
  • Focus on developing large-scale and efficient inference solutions for Waymo

Requirements

  • B.S. in Computer Science, Math, or equivalent real-world experience
  • 3+ years of experience with machine learning fundamentals and experience with popular ML frameworks such as JAX, PyTorch, or TensorFlow.
  • Experienced in software development projects using C++ or Python and deploying on cloud platforms, for example AWS, Azure, or GCP.
  • Experience with distributed systems and multi-threaded and stream-based programming models.

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.

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