Applied Scientist
About the role
- 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 ifYou 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
- ImmunoassaysMachine Learning
- BiochemistryAssaysResearch Experience
- SpectroscopyResearch & DevelopmentcGMPCell Culture
- Molecular Biology
- Data Analysis Skills
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
