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Senior Machine Learning Engineer, Multimodal Perception

Waymo · Mountain View, California, USA · Mountain View (US-MTV-EMF680)

CHECKED 7H AGO

Roboticsonsitesenior$213k–$263k
Apply on the lab’s site ↗

At a glance

Highlights

  • Build multimodal perception enabling safe interaction with high-stakes road actors.
  • Advance data-driven learned policies and end-to-end architectures at large scale.
  • Power autonomous ride-hail service with over ten million rider-only trips.

What they offer

  • Discretionary annual bonus program
  • Equity incentive plan
  • Company benefits program

Ideal candidate

A perception-oriented ML engineer who loves safety-critical robotics and thrives building large-scale data engines to advance autonomous driving.

Requirements

  • 2-5+ years training and deploying production vision or multi-modal deep learning models
  • Experience with multi-modal sensor fusion (Camera + LiDAR + Audio), multi-task learning (MTL), transformer architectures, and PyTorch / JAX
  • Experience building large-scale data curation pipelines, active learning loops, and auto-labeling systems
  • Fluency with modern AI developer tools and foundation model workflows for fast prototyping

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 ↗