Koah · 2 months ago
Applied Scientist
San Francisco, CA
Full-time
Onsite
Mid Level
$200K/yr - $300K/yrKoah Labs is building an ad network for AI-native products, aiming to help publishers monetize and advertisers reach targeted audiences. The Applied Scientist role involves designing algorithms, creating regression models, and analyzing data to enhance ad matching systems.
AdvertisingAdvertising PlatformsArtificial Intelligence (AI)Sales
Responsibilities
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
Qualification
Required
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
Company
Koah
Koah is the GenAI Ad Network: Publishers can monetize AI chat without compromising UX — and advertisers can reach high-intent users with 1:1 engagement inside GenAI environments.
Founded in 2024
2-10 employees
Funding
Current Stage
Early StageTotal Funding
$5MKey Investors
Forerunner
2025-09-07Seed· $5M
2024-01-01Pre Seed
Company data provided by crunchbase