Koahlabs
Applied Scientist
San Francisco, Remote. Posted 13 months ago
The role
The Applied Scientist will design algorithms for real-time bidding systems and create regression models to predict conversions. You will apply privacy-preserving clustering methods and analyze data to improve the core ad matching system.
What you will do
- Design efficient algorithms for real-time bidding systems
- Create and productionize regression models to predict end conversions
- Apply privacy-preserving clustering methods to categorize conversational data
- Analyze data to find alpha that can improve the core ad matching system
Required qualifications
- Advanced degree in Physics, Computer Science, Mathematics, Statistics, Engineering, or a related field
- Strong mathematical and statistical modeling skills
- Ability to communicate conclusions to both technical and non-technical audiences
About the company
Koah Labs is building the ad network to power the next generation of AI-native products. It is a small, tight-knit team in San Francisco with backgrounds at X, Apple, Meta, and early-stage startups.