# Applied Scientist at Koah

Applied Scientist at Koah in San Francisco. Hybrid, full-time, paying $200k–$300k. Posted October 1, 2025.

- Company: Koah
- Location: San Francisco
- Workplace: Hybrid
- Job type: Full-time
- Pay: $200k–$300k
- Posted: 2025-10-01
- Apply: https://jobs.ashbyhq.com/koahlabs/f2f56714-59b5-4676-aa7c-f20658765baa/application
- Source: https://jobmagic.ai/jobs/applied-scientist-koah-1bg8rd

## Description

**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, Meta, and early-stage startups. We’ve raised 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.

**Our Stack**

- **Infra**: Terraform, AWS, LGTM (Loki, Grafana, Tempo, Mimir), Tailscale, Cloudflare

- **Data**: PostgreSQL, ClickHouse, Redis, Kafka, Python

- **Core Application**: Ruby on Rails, React, TypeScript

- **SDKs**: Flutter, React Native, Android, iOS

**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