Senior Software Engineer, Data ML Infra and Eval Job at Waymo, California

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  • Waymo
  • California

Job Description

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.

Our Perception team at Waymo is responsible for understanding and representing the world around our autonomous vehicles. Our Data Primary team within Perception ensures that we have high-quality, accessible data to power our AI systems.

In this hybrid role you will report to a Software Engineering Manager.

You Will

  • Develop infrastructure and frameworks for generating reliable, high quality data for Perception foundation model development at the tens of petabyte scale
  • Deploy and maintain end-to-end data pipelines that deliver the foundation model data
  • Curate and deliver data sets, for both nominal and rare instances, that support the diverse ML tasks for Perception foundation models
  • Collaborate with foundation model, Perception evaluation, and ML infrastructure teams to integrate data generation into model training and evaluation frameworks
  • Collaborate with production teams to deploy foundation models in deployment settings
  • Responsible for infrastructure reliability, data availability, and data quality

You Have

  • Outstanding programming skills in C++, or Python
  • Hands-on experience building large-scale data processing and retrieval systems and pipelines: Apache Spark, Apache Beam, Google Cloud Dataflow, AWS Data Pipeline, or Faiss
  • 5+ years of experience in ML data engineering, including data pipelines, data curation, and data balancing
  • 5+ years of experience working in integrated settings to support data users and collaborating with our infrastructure partners; customer-oriented mindset
  • MS and 3+ years of industrial experience, or equivalent

Benefits such as healthcare, family leave, retirement plans, and dental/vision insurance will be shared by your recruiter.

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

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.

Salary Range

$192,000—$243,000 USD

Job Tags

Full time, Remote job,

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