Waymo

Waymo is an autonomous driving technology company creating a new way forward in mobility.

ML Engineer, Foundation Model Infrastructure

Machine Learning EngineerMachine Learning EngineerFull TimeRemoteTeam 1,001-5,000Since 2016H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

58 days ago

Salary

$204K - $259K / year

PythonC++Py TorchJAXTensor FlowFlumeSparkBorgKubeflowMlops

Job Description

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. This role follows a hybrid work schedule and you will report to a Senior Research Scientist.

  • Build and operate the petabyte-scale data systems and ML pipelines at the heart of Waymo's foundation model development
  • Shepherd cutting-edge foundation models from research prototypes to robust components within the Waymo Driver
  • Create the automated infrastructure for rigorously benchmarking, continuously monitoring, and safely releasing models
  • Wield large-scale compute and frameworks like Flume and JAX to process massive datasets and train/deploy complex models
  • Drive significant leaps in the speed, reliability, and efficiency of the end-to-end ML development lifecycle
  • Partner with AI Foundations, ML, and Platform experts to transform model innovations into tangible on-road improvements

Qualifications

  • Masters degree in Computer Science, Machine Learning, Robotics, similar technical field of study, or equivalent practical experience
  • Proficiency in Python
  • Proficiency in C++
  • Familiarity with one of the modern deep learning frameworks (e.g. Pytorch, JAX, Tensorflow)
  • Experience building or maintaining large-scale data pipelines or ML infrastructure (e.g., Flume, Spark, Borg, Kubeflow)

Requirements

  • Strong hands-on SWE skills, able to drive development of large, complex shared codebases
  • Experience in AV planning and related research
  • Experience designing and building distributed systems or MLOps platforms (e.g., model versioning, experiment tracking, CI/CD for ML)
  • Prior work in an industrial or research setting developing methodologies for the evaluation of ML models

Benefits

  • Eligible to participate in Waymo’s discretionary annual bonus program
  • Equity incentive plan
  • Generous Company benefits program, subject to eligibility requirements

Salary Range

$204,000 — $259,000 USD

Job Requirements

  • Masters degree in Computer Science, Machine Learning, Robotics, similar technical field of study, or equivalent practical experience
  • Proficiency in Python
  • Proficiency in C++
  • Familiarity with one of the modern deep learning frameworks (e.g. Pytorch, JAX, Tensorflow)
  • Experience building or maintaining large-scale data pipelines or ML infrastructure (e.g., Flume, Spark, Borg, Kubeflow)
  • Strong hands-on SWE skills, able to drive development of large, complex shared codebases
  • Experience in AV planning and related research
  • Experience designing and building distributed systems or MLOps platforms (e.g., model versioning, experiment tracking, CI/CD for ML)
  • Prior work in an industrial or research setting developing methodologies for the evaluation of ML models

Benefits

  • Eligible to participate in Waymo’s discretionary annual bonus program
  • Equity incentive plan
  • Generous Company benefits program, subject to eligibility requirements
  • Salary Range
  • $204,000 — $259,000 USD

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