Machine Learning Tooling Software Engineer

Posted 14 Days Ago
Be an Early Applicant
Taipei City
3M-3M Annually
Mid level
Automotive
The Role
As a Machine Learning Tooling Software Engineer, you'll build infrastructure to monitor ML model compatibility and performance, empower ML engineers with tooling for optimization, and maintain a database of model performance metrics for internal users.
Summary Generated by Built In

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.

Waymo's Compute Team is tasked with a critical and exciting mission: We deliver the compute platform responsible for running the fully autonomous vehicle's software stack. To achieve our mission, we architect and create high-performance custom silicon; we develop system-level compute architectures that push the boundaries of performance, power, and latency; and we collaborate closely with many other teammates to ensure we design and optimize hardware and software for maximum performance. We are a multidisciplinary team seeking curious and talented teammates to work on one of the world's highest performance automotive compute platforms.

In this hybrid role, you will be reporting to an engineering manager.

You will:

  • Build infrastructure and tooling to monitor and diagnose ML model compatibility and performance issues during other ML software development
  • Partner and empower ML engineers to optimize the performance of their model on through set of tooling and capabilities needed for rapid iteration
  • Build and sustain a database of ML model performance and other metrics. Ensure a user experience for internal customers, helping them easily query data, debug, bisect, and track releases

You have:

  • Bachelors in Computer Science or Electrical Engineering or equivalent work experience
  • 3+ years of experience in software development and with data structures/algorithms
  • 1+ year of experience in data visualization tools

We prefer:

  • Experience in relational and non-relational databases, normalization, data governance, data quality
  • Experience developing accessible technologies
  • Experience building infrastructure for models, diagnosis failures and tooling

The expected base salary range for this full-time position 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.  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

$2,600,000$3,120,000 TWD

Top Skills

Machine Learning
Software Development
The Company
Mountain View, CA
2,359 Employees
On-site Workplace
Year Founded: 2009

What We Do

Waymo is an autonomous driving technology company with a mission to make it safe and easy for people and things to move around. With the Waymo Driver, we can improve the world’s mobility while saving thousands of lives.
Waymo reaches out to candidates from official channels only (e.g. directly from @waymo.com email addresses, or through our recruiters or sourcers who are noted as such on LinkedIn). We do not contact candidates about career opportunities through instant messaging apps like Telegram, email addresses from domains other than waymo.com (such as Gmail addresses), direct messages on Twitter, Facebook, and Instagram, or text messages. Visit waymo.com to check out our official job listings.

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