ML Engineer, Foundation Model Infrastructure

Waymo
Mountain View, California, United States
Full Time
Hybrid
Senior
USD 175,000 – 215,000
Postgraduate Degree
Technology Information Technology Telecommunications

Posted 1 day ago

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Excellent 4.7

Job summary

Waymo is seeking a Machine Learning Engineer to develop and operate large-scale data systems and ML pipelines for building foundation models in autonomous driving. The role involves shepherding models from research to deployment, creating automated benchmarking infrastructure, and leveraging frameworks like Flume and JAX to process massive datasets and train complex models. The ideal candidate will have experience with big data, ML infrastructure, and modern deep learning frameworks, and will collaborate with multidisciplinary teams to improve the Waymo Driver.

Responsibilities

You will build and operate petabyte-scale data systems and ML pipelines to support the development of foundation models for autonomous driving. Additionally, you will shepherd research prototypes into robust production components and create infrastructure for benchmarking and monitoring models.

Qualifications

C++ Deep Learning frameworks Distributed Systems Large-scale Data Systems ML infrastructure ML pipelines MLOps platforms Model evaluation methodologies Python Reinforcement learning

Candidates must hold a Master's degree in Computer Science, Machine Learning, Robotics, or a related field. Proficiency in Python and C++, along with experience in large-scale data pipelines or ML infrastructure, is required.

English

Benefits

  • Annual bonus program
  • Equity incentive plan
  • Company benefits program

Company

Waymo

Waymo

linkedin
Technology, Information and Internet
Location
Mountain View, California, United States
Website
waymo.com

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Excellent 4.7
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