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Waymo

Robot type
Autonomous Vehicle
Location
Mountain ViewCaliforniaUSA
Job type
Artificial Intelligence
Posted
Sep 23, 2026
Salary
$251,000–$310,000 a year
Full-time

Staff Tech Lead, ML Data Infrastructure and Inference Platform

Job description

The ML Data Infrastructure and Inference Platform team owns the Data as well as the Data infrastructure for all ML Flywheels at Waymo. We do this via a planet scale centralized feature store for all ML training and evaluation, the feature extraction framework as well the inference platform for generating the data via bulk and online inferences. The objective of the team is to deliver data necessary for all our onboard as well Foundation Models to make the ML Flywheel successful and in turn lead to the successful scaling of Waymo. The team is highly collaborative and closely works with all modeling teams within Waymo.

Waymo is an autonomous driving technology company with the mission to be…

Job responsibilities

  • As a Tech Lead you’ll build, lead and contribute to Waymo’s ML data infrastructure platform to enable planet scale ML Flywheel for all ML models at Waymo via data store and data infra ecosystem.
  • Work closely with teams across Waymo both onboard & offboard Foundation models, to understand the data infra needs, data distributions, data quality, data value, freshness and onboard these flywheels onto our planet…
  • You will closely lead, mentor and guide a team of engineers to build and onboard teams to the infrastructure efficiently.
  • The team has a large surface area and scope in terms of impact, cross team collaboration and direct interaction with ML models at Waymo.

Job requirements

  • 6+ years of professional experience in the field of software engineering
  • Experience tech leading projects with high cross team collaboration
  • Experience tech leading a team of engineers on complex projects
  • Experience in programming C++
  • Experience with building highly scalable distributed system
  • Experience with ML Data and ML Flywheels
Apply on Waymo websiteSave

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