Live opening · Posted 22 hours ago

Machine Learning Lead, Ads Relevance & Measurement

hussh 🤫 · Palo Alto, CA (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 22 hours ago
Companyhussh 🤫
LocationPalo Alto, CA (Remote)
Work modeYes
SkillsMachine Learning
SourceLinkedin
ListedPosted 22 hours ago

About the role

Description supplied by the original job listing.

Hussh is betting on the ads economy — and we love ads. Done right, an ad is a person finding exactly what they wanted. Ours will be a hundred times better, because ours begin with consent.
Here is the mechanism we are building: the reverse auction of personal information. People offer the information they choose to offer — their interests, their intent, their moment — through their own private agent. Brands then bid for that attention, on the person's terms. The person controls what they see, and they are paid for it.
We are hiring the machine learning lead for ads relevance and measurement: what a person chose to see, ranked with taste — and measurement that proves value to the advertiser without ever betraying the user's consent. You have built ads ML at real scale — ranking, relevance, measurement in your bones — and you understand, deeply, how ads models work and how they scale. Your job is to make consented advertising outperform surveillance advertising — for the person first, and therefore for the advertiser, and therefore for the whole economy we are part of.
We are not here to shrink the ads economy. We are here to be its disruptor from inside — and to make it bigger and better. If that is the platform you want to build, apply.

Work arrangement
Yes

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