Applied Scientist

Who We AreKoah 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 StackInfra: Terraform, AWS, LGTM (Loki, Grafana, Tempo, Mimir), Tailscale, CloudflareData: PostgreSQL, ClickHouse, Redis, Kafka, PythonCore Application: Ruby on Rails, React, TypeScriptSDKs: Flutter, React Native, Android, iOSExample ProjectsDesign efficient algorithms for real-time bidding systems, building upon the current pricing literatureCreate and productionize regression models to predict end conversions based on demographic, audience, and semantic dataApply privacy-preserving clustering methods to categorize conversational data to improve advertiser outreachAnalyze and pore over data to find alpha that can improve the core ad matching system balancing publisher and advertiser outcomesYou might be a fit ifYou have an advanced degree in Physics, Computer Science, Mathematics, Statistics, Engineering, or a related fieldYou enjoy identifying and owning challenging problems, forming testable hypotheses, and conducting impactful research to drive significant business impactYou have a relentless focus on continuous learning and making an impact with an ability to question the status quoYou have strong mathematical and statistical modeling skillsYou enjoy communicating conclusions to both technical and non-technical audiences alikeCompensation Range: $200K - $300K