Applied Scientist

Koah; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

An innovative AI advertising company in San Francisco is seeking a Founding Applied Scientist. The role involves designing algorithms and analyzing data to optimize ad matching systems. Ideal candidates should have an advanced degree in a quantitative field and strong skills in statistical modeling. The position is a key opportunity to make an impact in the AI-native advertising landscape.

Qualifications

• You have an advanced degree in Physics, Computer Science, Mathematics, Statistics, Engineering, or a related field.
• You enjoy identifying and owning challenging problems and conducting impactful research.
• You have strong mathematical and statistical modeling skills.

Responsibilities

• Design efficient algorithms for real-time bidding systems.
• Create and productionize regression models for predicting conversions.
• Analyze data to improve core ad matching systems.

Skills

Mathematical and statistical modeling

Problem identification and hypothesis testing

Continuous learning and adaptability

Effective communication skills

Education

Advanced degree in relevant field

Job description

Apply for the Founding Applied Scientist role at Koah.

Overview

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.

Key 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

Qualifications

• 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

If you're interested, please send an email to [e-mail] with your full name, email address, and resume.