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    InternshipsWhiterabbit.aiResearch Scientist Intern

    Research Scientist Intern

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    Whiterabbit.ai

    Improving lives through earlier, more accurate cancer detection using AI

    51-200 employeesFounded 2017Redwood City, CaliforniaSoftware Development
    Posted 89 days agoApply by Aug 26Actively hiringPaidRemote-friendlySummer 2026Software Development
    Apply Now

    Best applied by Aug 26

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    About the role#

    Whiterabbit.ai is seeking a Research Scientist Intern to advance the state of the art in AI models. This role focuses on architecting algorithms and models to power products designed for the early detection of cancer. You will train models on a dedicated high-performance compute cluster and collaborate with healthcare professionals to build solutions that improve diagnostic accuracy and productivity.

    What you'll do#

    • Develop highly scalable classifiers and detectors to solve real-world problems.
    • Participate in cutting-edge research regarding medical applications of computer vision.
    • Learn and synthesize a large body of research in deep learning and machine learning.
    • Partner with universities and contribute to the research community through high-impact publications.

    What you'll need#

    • Strong theoretical and empirical research background.
    • Fluency in Python and at least one deep learning framework.
    • Experience with deep learning and convolutional networks.
    • Experience working with large-scale machine learning and terabytes of data.
    • A history of contributions to research communities and efforts.
    • Academic background in Computer Science, Data Science, Biomedical Engineering, Mathematics, or Statistics.

    Location & details#

    • This is a full-time, paid remote internship for Summer 2026.
    • Sponsorship is not provided for this position.
    Relevant fieldsComputer ScienceData ScienceBiomedical EngineeringMathematicsStatistics

    About Whiterabbit.ai

    Whiterabbit.ai operates in the software development industry with a focus on medical image processing and artificial intelligence. Founded in 2017, the company develops tools to assist radiologists with breast cancer screening and diagnosis. It maintains headquarters in Redwood City, California. The organization employs approximately 50 people.

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