Machine Learning Engineer – Vision Foundation Models

Zoox

. Design, train, and evaluate vision-based in-cabin perception models for passengers, objects, and behaviors .

Posted 10/28/2026full-timeUnited StatesMid-LevelSenior💰 $254,000 - $305,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates deep expertise in computer vision and deep learning, with a strong focus on model development and deployment for real-time systems. Proficient in managing the full machine learning lifecycle, including data curation, training, and evaluation, while ensuring model quality and safety in autonomous applications.

Highest-signal resume keywords

Computer Vision ExpertiseDeep Learning ProficiencyPython ProgrammingModel Deployment ExperienceFull ML Lifecycle Ownership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Object DetectionPose RecognitionAction RecognitionFine-Grained ClassificationConvolutional DetectorsVision-Transformer DetectorsSelf-Supervised LearningDataset CurationError AnalysisC++ Programming

Tools & Technologies

PyTorchTensorRTONNXDINOv3Vision-Language Models

Industry Keywords

In-Cabin PerceptionOccupant MonitoringMulti-Camera ImageryLow-Light ConditionsAutonomous Robotaxi Service

Tech Stack

Tools & technologies

PythonPyTorchC++

About the role

Key responsibilities & impact

Design, train, and evaluate vision-based in-cabin perception models for passengers, objects, and behaviors
Own a model or feature area end to end, including data curation, labeling guidelines, training, evaluation, and deployment
Establish model quality standards through rigorous evaluation and error analysis
Deploy models under real-time and compute constraints within the onboard perception system
Partner with product, operations, safety, and vehicle software teams to define model specifications, metrics, and validation plans
Support rider safety and operational reliability as Zoox scales its autonomous robotaxi service

Requirements

What you’ll need

MS or PhD in Computer Science, Machine Learning, Computer Vision, or a related field with 6+ years of industry experience; PhD with 3+ years
Deep expertise in computer vision and deep learning for image and video understanding
Experience with object detection, pose recognition, action recognition, and fine-grained classification
Hands-on experience with convolutional and vision-transformer detectors and self-supervised or foundation-model backbones such as DINOv3
Strong proficiency in Python and PyTorch
Experience with vision-language models or foundation-model backbones
Experience with auto-labeling or synthetic data for long-tail and rare classes
Track record owning the full ML lifecycle on real-world data, including dataset curation, labeling guidelines, training, metric design, and error analysis
Experience with in-cabin or occupant monitoring, multi-camera or fisheye imagery, and low-light conditions
Experience deploying deep learning models to real-time, resource-constrained systems using TensorRT, ONNX, or similar
Proficiency in C++ for model integration

Benefits

Comp & perks

Paid time off, including sick leave, vacation, and bereavement
Unpaid time off
Zoox Stock Appreciation Rights
Amazon Restricted Stock Units (RSUs)
Health insurance
Long-term care insurance
Long-term and short-term disability insurance
Life insurance
Sign-on bonus may be offered