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Guide Labs

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About

Guide Labs is building interpretable AI systems and foundation models that prioritize human understanding, trust, and debugging. Their research focuses on creating reliable explanations and justifications, addressing issues with current AI systems that produce unreliable or unrelated explanations. They've developed methods for training models that produce human-understandable factors for outputs, reliable context citations, and specification of training data influence. Their team has extensive experience in interpretable machine learning, with publications at top ML conferences and development of the first interpretable generative diffusion model and LLM. They are hiring for several roles in San Francisco, including Research Interns, Full-stack Developers, Research Scientists, and Machine Learning Engineers.

Platform
Web
Task
ai development

Features

human-understandable explanations

interpretable ai systems

foundation models

context citations

trustworthy outputs

reliable debugging

training data influence specification

Job Opportunities

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Guide Labs

Research Intern

Guide Labs develops interpretable and auditable AI systems and foundation models for reliable debugging, trust, and human understanding.

engineeringonsiteSan Francisco, USfull-time

Education Requirements:

  • PhD preferred

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Research Scientist

Guide Labs develops interpretable and auditable AI systems and foundation models for reliable debugging, trust, and human understanding.

Education Requirements:

  • PhD preferred

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Machine Learning Engineer

Guide Labs develops interpretable and auditable AI systems and foundation models for reliable debugging, trust, and human understanding.

Education Requirements:

  • PhD preferred

Show more details

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