Applied Scientist
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At a glance
Requirements
Credentials this posting asks for.
Job overview
Koah Labs is hiring an Applied Scientist. Koah Labs builds an AI-native ad network to help publishers monetize and advertisers reach the right audience while preserving speed, user experience, and privacy, operating as a small, fast‑moving team in San Francisco.
Key focus areas include Design efficient algorithms for real‑time bidding systems based on pricing literature, Create and productionize regression models to predict end conversions using demographic and semantic data, and Apply privacy‑preserving clustering methods to categorize conversational data for advertiser outreach.
Preferred (not required): Terraform, AWS, LGTM, and Loki.
Skills & qualifications
Skills
Qualifications
Full job description
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, Meta, and early-stage startups. We’ve raised 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.
Our Stack
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Infra : Terraform, AWS, LGTM (Loki, Grafana, Tempo, Mimir), Tailscale, Cloudflare
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Data : PostgreSQL, ClickHouse, Redis, Kafka, Python
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Core Application : Ruby on Rails, React, TypeScript
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SDKs : Flutter, React Native, Android, iOS
Example Projects
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Design efficient algorithms for real-time bidding systems, building upon the current pricing literature
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Create and productionize regression models to predict end conversions based on demographic, audience, and semantic data
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Apply privacy-preserving clustering methods to categorize conversational data to improve advertiser outreach
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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
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You have an advanced degree in Physics, Computer Science, Mathematics, Statistics, Engineering, or a related field
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You enjoy identifying and owning challenging problems, forming testable hypotheses, and conducting impactful research to drive significant business impact
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You have a relentless focus on continuous learning and making an impact with an ability to question the status quo
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You have strong mathematical and statistical modeling skills
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You enjoy communicating conclusions to both technical and non-technical audiences alike
You've read the whole posting — now see how you match it.