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Perception Machine Learning Engineer - Continuous Learning

Waymo · Mountain View, CA, USA; San Francisco, CA, USA · Mountain View (US-MTV-EMF680)

CHECKED 7H AGO

Roboticsonsitemid-level$175k–$215k
Apply on the lab’s site ↗

At a glance

Highlights

  • Build closed-loop systems that keep perception models learning from fleet data.
  • Mine rare, safety-critical scenarios from 100M+ miles of driving.
  • Power fully autonomous ride-hail service with ten million rider-only trips.

What they offer

  • Annual bonus program
  • Equity incentive plan
  • Company benefits program

Ideal candidate

A data-driven ML engineer who thrives bridging models and large-scale infrastructure and cares about continuous improvement for real-world autonomy.

Requirements

  • Bachelor's degree in Machine Learning, Robotics, or Computer Science
  • 3+ years of professional experience in Machine Learning and/or Computer Vision
  • Hands-on experience applying active learning in production environments
  • Expertise building large-scale ML data pipelines for mining, extraction and ingestion
  • Understanding of data curation, balancing, subset selection and sampling
  • Proficiency in Python and deep learning frameworks
  • Strong software engineering skills for production-ready code

Lab profile

About Waymo

Autonomous driving technology company building the Waymo Driver for fully autonomous ride-hailing.

What they build

  • Waymo Driver
  • Fully autonomous ride-hail service

Known for

  • Large-scale driving simulation
  • Simulation realism
  • Quantitative evaluations
  • Onboard autonomy models

Key facts

  • Founded in 2009
  • Started as the Google Self-Driving Car Project
More about Waymo →
Apply on the lab’s site ↗