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    Research Scientist - San Francisco, CA, United States - Abacus

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    Description

    Responsible for coming up with new techniques in unsupervised learning, dataset augmentation and deep reinforcement learning that can be applied to automating various parts of the AI development workflow.

    Candidates will need to have a PhD preferably in Artificial Intelligence or Machine Learning. We are looking for people who have done research / published papers in one of the following areas:

    Auto ML

    Neural Architecture Search

    Personalization

    Forecasting

    Ideal candidates would be experienced at publishing at top conferences and be able to write code and ideate with the product team.

    #J-18808-Ljbffr


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