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Machine Learning Engineer - Vision Foundation Models

Summary by AIEngineer.careers

Machine Learning Engineer - Vision Foundation Models is a Computer Vision Engineer role (full-time). with Zoox. in BOSTON, US. Compensation shown: $254K–$305K. Imported listing (source: snagajob.com). Apply on the employer's site (snagajob.com).

Imported listing (source: snagajob.com) · Apply on snagajob.com

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BOSTON · US
$254K–$305K
Full-time
MID
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The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.

Imported job description

Sourced from snagajob.com

Join Zoox's Perception team to design, train, and evaluate vision-based in-cabin perception models for robotaxis, covering object detection, pose estimation, and action recognition. The role carries full ownership of the machine learning lifecycle, from data and model development through evaluation and deployment.

Responsibilities

  • Design, train, and evaluate vision-based in-cabin perception models
  • Develop models for object detection, pose estimation, and action recognition
  • Own the full ML lifecycle from data through deployment and evaluation
  • Collaborate with the Perception team to advance robotaxi perception capabilities

Requirements

  • Experience building and training computer vision models
  • Strong background in deep learning for perception tasks
  • Proficiency with ML frameworks such as PyTorch
  • Experience owning the end-to-end ML lifecycle

Nice to Have

  • Experience with pose estimation or action recognition
  • Background in autonomous vehicles or robotics
  • Experience with vision foundation models

Tech Stack

Action RecognitionComputer VisionDeep LearningObject DetectionPose EstimationPyTorch
Z

Zoox

Foster City · US · 2900+ employees

Zoox is an autonomous mobility company and a subsidiary of Amazon that develops purpose-built, all-electric robotaxis. The company offers a fully autonomous ride-hailing service designed for urban environments.

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