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Waymo

Robot type
Autonomous Vehicle
Location
Mountain ViewCaliforniaUSA
Job type
Artificial Intelligence
Posted
Jun 22, 2026
Salary
$298,000–$368,000 a year
Full-time

Senior Staff Machine Learning Engineer, LLM/VLM Model Architecture & Optimization

Job description

The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the autonomously driving vehicle (ADV), i.e., the system that “perceives” the world around the car. We work jointly with downstream teams on the optimization and integration into the Waymo Driver. We conduct our own research to address real-world problems and collaborate with research teams at Alphabet.

Waymo 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…

Job responsibilities

  • Design VLM/LLM model architecture and drive strong alignment between model architectures and hardware architectures.
  • Optimize model performance for on-device use cases (memory, power, compute constrained environments).
  • Engage directly with research, software engineering, hardware engineering, and product teams to deliver end-to-end solutions.

Job requirements

  • 7+ years of experience in Machine Learning, with a focus on large-scale model development (LLM, VLM, or similar foundation models).
  • Proven expertise in low-latency on-device inference techniques and a deep understanding of hardware acceleration.
  • Extensive experience with deep learning frameworks (e.g. PyTorch, JAX) and large-scale model training.
  • A track record of operating effectively under ambiguity, setting direction amid rapidly evolving research and technical constraints
  • Experience applying large language models or foundation models in complex, safety-critical domains (e.g., autonomy, robotics, or other high-reliability systems)
  • Master's degree in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience.
Apply on Waymo websiteSave

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