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Perplexity

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In information theory, perplexity is a measure of uncertainty for a discrete probability distribution. The perplexity of a fair coin toss is 2, and that of a fair die roll is 6; and generally, for a probability distribution with exactly N outcomes each having a probability of exactly 1 / N, the perplexity is simply N.

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  1. Member of Technical Staff (Android Engineer, Computer Growth)

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    San FranciscoMobile
    $220–405k3w ago

  2. Member of Data Staff (Analytics Engineer)

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    San FranciscoData Science
    $175–330k1mo ago

  3. Member of Technical Staff (Software Engineer, Infrastructure & Platform)

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    San FranciscoPlatform & Infrastructure
    $220–405k2mo ago

  4. Member of Technical Staff (Software Engineer, Desktop Apps)

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    San FranciscoAI Products
    $200–400k2mo ago

  5. Member of Technical Staff (Software Engineer, Design System)

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    San FranciscoAI Products
    $220–405k2mo ago

  6. Member of Technical Staff (Software Engineer, Enterprise Knowledge Platform)

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    San FranciscoPlatform & Infrastructure
    $220–405k4mo ago