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Waymo

Robot type
Autonomous Vehicle
Location
Mountain ViewCaliforniaUSA
Job type
Artificial Intelligence
Posted
Aug 31, 2026
Salary
$213,000–$263,000 a year
Full-time

Senior Machine Learning Engineer, Multimodal Perception

Job description

The Special Vehicle Compliance team develops the multi-modal perception, semantic reasoning, and driving intelligence that enables the autonomous vehicle to safely interact with high-stakes road actors. We are actively advancing our systems toward data-driven learned policies and end-to-end architectures, powered by large-scale closed-loop data engines.

Role overview: Perception-focused MLE role dedicated to multi-modal sensor fusion, multi-task deep learning architectures for vehicle semantics and signal detection, dynamic high-resolution vision backbones, and large-scale automated data engines.

In this hybrid role, you will report to the Technical Lead Manager of the Special Vehicle…

Job responsibilities

  • Architect, train, and optimize multi-task deep learning models (PyTorch / JAX) across multi-modal sensor streams.
  • Build automated data mining pipelines, active learning loops, hard-example curation, and auto-labeling systems.
  • Develop high-resolution vision architectures and spatial-temporal transformer backbones.
  • Leverage multimodal foundation models for automated data curation, synthetic edge-case generation, and failure triage.
  • Profile and optimize models for efficient onboard accelerator inference.

Job 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.
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