Applied Scientist

Compensation

  • $200k+

  • Meaningful Equity

  • Offers Bonus

About this role

Who we are

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.

Example Projects
  • 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

You might be a fit if
  • You have an advanced degree in Physics, Computer Science, Mathematics, Statistics, Engineering, or a related field

  • You enjoy identifying and owning challenging problems, forming testable hypotheses, and conducting impactful research to drive significant business impact

  • You have a relentless focus on continuous learning and making an impact with an ability to question the status quo

  • You have strong mathematical and statistical modeling skills

  • You enjoy communicating conclusions to both technical and non-technical audiences alike

If you're interested, please send an email to careers@koahlabs.com with your full name, email address, and resume.

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