Applied Scientist

Overview

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.

• Design efficient algorithms for real-time bidding systems, building upon the current pricing literature
• Create and product ionize 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 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

• Laboratory Experience
• Immunoassays
• Machine Learning
• Biochemistry
• Assays
• Research Experience
• Spectroscopy
• Research & Development
• cGMP
• Cell Culture
• Molecular Biology
• Data Analysis Skills

Employment Type
:
Full-Time

Department /

Functional Area

:
Engineering

Experience
: years

Vacancy
: 1