Applied Scientist

Koah Labs; San Francisco (CA); On-site; USD 100,000 - 140,000; Full time

Job summary

An innovative tech company in San Francisco is looking for an engineer with strong mathematical and statistical modeling skills. The role involves designing algorithms for ad systems and analyzing data to optimize performance. Candidates should have an advanced degree in a relevant field and a passion for identifying impactful problems in technology.

Qualifications

• Enjoy identifying and owning challenging problems and conducting impactful research.
• Possess strong mathematical and statistical modeling skills.
• Capable of communicating conclusions to both technical and non-technical audiences.

Responsibilities

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

Skills

Laboratory Experience

Immunoassays

Machine Learning

Biochemistry

Data Analysis Skills

Education

Advanced degree in Physics, Computer Science, Mathematics, Statistics, Engineering or related field

Job description

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.

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 if

• 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

Key Skills

• 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