Waymo

Machine Learning Engineer, ML Resources

Waymo$170K — $216K *
Technical Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related field.
  • 2+ years of equivalent experience in software engineering.
  • Proficiency in Python or C++.
  • Experience with distributed systems in production environments.
  • Skilled in monitoring, debugging, and troubleshooting complex systems.

Responsibilities

  • Analyze ML resource usage across teams and projects.
  • Develop and maintain dashboards for monitoring resource metrics.
  • Identify opportunities for resource optimization and performance improvements.
  • Support ML engineers on best practices for resource utilization.
  • Document and enforce resource management policies.

Benefits

  • Participation in an annual bonus program.
  • Eligibility for an equity incentive plan.
  • Generous employee benefits program.
Full Job Description
The ML Ops team, part of Waymo ML Platform team, builds tools and infrastructure to realize the ML flywheel at Waymo. This includes building automation and orchestration solutions to make complex ML workflows manageable and reliable. This team also partners closely with the modeling team to realize solutions to speed up developer velocity.

We're looking for a software engineer to join the team to build and maintain the critical data and ML pipelines that powers ML development at Waymo.

In this hybrid role, you will report to a Technical Lead Manager, Staff Software Engineer.

You will:
  • Analyze and report on ML resource (compute, storage, accelerators) usage, costs, and efficiency trends across different teams and projects.
  • Develop, maintain, and improve dashboards and tools for monitoring key resource metrics and providing actionable insights.
  • Identify and investigate opportunities for resource optimization, cost reduction, and performance improvements in ML workflows.
  • Support and guide ML engineers and researchers on best practices for resource utilization
  • Contribute to the development, documentation, and enforcement of resource management policies and best practices.

You have:
  • Bachelor's degree in Computer Science, Engineering, or related field, and 2+ years equivalent experience
  • Experience with distributed systems principles and experience building distributed systems for production environments.
  • Solid Python or C++ skills
  • Experience monitoring, debugging, and troubleshooting complex distributed systems
  • Experience communicating updates and resolutions to customers and other partners


We prefer:
  • Experience with compute and storage management for medium to large organizations

#LI-Hybrid

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

$170,000-$216,000 USD

About Waymo

Waymo LLC is a self-driving technology development company. It is a subsidiary of Alphabet Inc., the parent company of Google. Waymo develops autonomous driving technology and provides ride-hailing services through its Waymo One program. The company has been testing its self-driving technology on public roads since 2009 and has logged millions of miles of autonomous driving. Waymo has partnerships with several automakers and has been working on developing autonomous trucks for use in logistics.
Learn more about Waymo
Size
2,000 employees
Industry
Founded
2009

Similar Jobs

More Jobs at Waymo

More Technical Services Jobs

Find similar Machine Learning Engineer, ML Resources jobs: