2026 PhD Residency, Asset & Defect Segmentation (Tapestry) jobs in United States
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X, The Moonshot Factory · 9 hours ago

2026 PhD Residency, Asset & Defect Segmentation (Tapestry)

Tapestry, a part of Alphabet's moonshot factory, focuses on revolutionizing the electric grid through advanced AI solutions. The PhD residency role involves advancing computer vision techniques for asset and defect segmentation, enabling faster model development and enhancing real-world applications in infrastructure monitoring.

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Responsibilities

Accelerate model development: Enable faster creation of new asset and defect detection models by leveraging segmentation-first approaches that significantly reduce training time and data requirements
Improve downstream model performance: Produce high-quality segmentation masks that serve as targeted attention mechanisms, improving accuracy and efficiency for detection and classification models
Increase scalability: Help scale asset and defect detection across new asset types and image sources without linear increases in manual labeling or compute costs
Reduce operational friction: Decrease iteration cycles for model experimentation, allowing teams to validate and deploy improvements more quickly
Drive real-world reliability: Contribute to AI-powered capabilities that improve infrastructure monitoring and preventive maintenance, directly supporting system reliability at scale

Qualification

Computer VisionImage SegmentationPythonDeep Learning FrameworksVision Model EvaluationResearch InstinctsProblem FormulationExperimentationAnalysisCollaboration

Required

PhD student specializing in Computer Vision, Machine Learning, or a closely related field
Strong experience with modern computer vision techniques, especially image segmentation
Proficiency in Python and deep learning frameworks commonly used for vision research
Experience designing, training, and evaluating vision models on real-world image data
Strong research instincts, including problem formulation, experimentation, and analysis
Passion for applying research to practical problems with real-world impact

Preferred

Experience working with foundation or promptable segmentation models
Familiarity with building efficient data pipelines for vision tasks
Exposure to downstream model optimization or attention mechanisms
Experience applying vision models to large-scale or noisy real-world datasets
Interest in bridging research and production-oriented applications

Benefits

Medical, dental, and vision coverage
Competitive residency stipend and housing relocation support for the duration of the program.
Direct mentorship from industry-leading research scientists and engineers.
Opportunity to work on "moonshot" problems with access to Alphabet-scale compute and resources.

Company

X, The Moonshot Factory

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X, the moonshot factory invents and launches breakthrough technologies and radical solutions. It is a sub-organization of Alphabet.

Funding

Current Stage
Growth Stage

Leadership Team

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Helen Riley
COO/CFO of X, The Moonshot Factory (aka Google X)
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Artem Goncharuk
Director of Engineering
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Company data provided by crunchbase