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Founding Applied Scientist

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Koah Labs

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Location:
United States , San Francisco

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided
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Job Description:

Koah Labs is building the ad network to power the next generation of AI-native products. Our mission is to help publishers monetize and help advertisers reach the right audience — without compromising speed, UX, or privacy. We’re a small, tight-knit team in San Francisco with backgrounds at X, Apple, and early-stage startups. We’ve raised $5.7M from top investors and are growing fast with real traction on both the publisher and advertiser sides. Working at Koah means joining at the ground floor: you’ll ship code that shapes the company and the ecosystem we’re building. We move quickly, operate with high trust, and care deeply about craft.

Job Responsibility:

  • Design efficient algorithms for real-time bidding systems, building upon the current pricing literature
  • Create and productionize regression models to predict end conversions based on demographic, audience, and semantic data
  • Apply privacy-preserving clustering methods to categorize conversational data to improve advertiser outreach
  • Analyze and pore over data to find alpha that can improve the core ad matching system balancing publisher and advertiser outcomes

Requirements:

  • Advanced degree in Physics, Computer Science, Mathematics, Statistics, Engineering, or a related field
  • Enjoy identifying and owning challenging problems, forming testable hypotheses, and conducting impactful research to drive significant business impact
  • Relentless focus on continuous learning and making an impact with an ability to question the status quo
  • Strong mathematical and statistical modeling skills
  • Enjoy communicating conclusions to both technical and non-technical audiences alike
What we offer:
  • Meaningful Equity
  • Offers Bonus

Additional Information:

Job Posted:
December 09, 2025

Employment Type:
Fulltime
Work Type:
On-site work
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