Staff Tech Lead, ML Data Infrastructure and Inference Platform

Waymo, Mountain View, CA +1

What you will do

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 scale data store and ensure the seamless adoption and guide the development of our infra components.
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.

Waymo, Mountain View, CA +1

$251K–$310K

a year

This base pay is above the median for staff inference and ML systems jobs in the Bay Area.

We compare the middle of each posted range. This is base pay as posted. The group does not include this job.

The Waymo site opens in a new tab.

See total pay at Waymo on Levels.fyiBase, stock and bonus, as employees report it.

No one has reported an interview at Waymo yet. Did you interview there? Add the questions.

Compare your résumé with this job. See where you match, what is missing and which lines to change.

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 scale data store and ensure the seamless adoption and guide the development of our infra components.
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.