Machine Learning Engineer, ML Resources
Waymo · Mountain View, CA · Sys Intel and Machine Lrng (SQT)
About this role
Waymo is hiring a mid-level Machine Learning Engineer based in Mountain View, CA (hybrid). The posting calls out experience with Python, MLOps, Distributed Systems, Machine Learning and roughly 2+ years of relevant work. Listed education preference: a bachelor's degree or equivalent. Compensation is listed at $170,000–$216,000 per year.
- Role
- Machine Learning Engineer
- Function
- machine learning
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Mountain View, CA
- Work mode
- Hybrid
- Experience
- 2+ years
- Education
- Bachelor's degree
- Department
- Sys Intel and Machine Lrng (SQT)
More roles at Waymo
Job description
from Waymo careersWaymo is an autonomous driving technology company with the mission to be the world's 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’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
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.