Applied Scientist

Reposted 24 Days Ago
Be an Early Applicant
San Francisco, CA, USA
Hybrid
Mid level
AdTech • Artificial Intelligence • Information Technology • Software • Generative AI
The Role
Design and productionize algorithms and regression models for real-time bidding and conversion prediction; apply privacy-preserving clustering to conversational data; analyze data to improve ad matching; conduct research, form hypotheses, and communicate findings to technical and non-technical stakeholders.
Summary Generated by Built In

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

Skills Required

  • Advanced degree in Physics, Computer Science, Mathematics, Statistics, Engineering, or a related field
  • Strong mathematical and statistical modeling skills
  • Experience identifying and owning challenging problems, forming testable hypotheses, and conducting impactful research
  • Ability to communicate conclusions to both technical and non-technical audiences
  • Relentless focus on continuous learning and ability to question the status quo
Am I A Good Fit?
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The Company
HQ: San Francisco, CA
17 Employees
Year Founded: 2024

What We Do

Koah is the GenAI Ad Network: Publishers can monetize AI chat without compromising UX — and advertisers can reach high-intent users with 1:1 engagement inside GenAI environments. Native-built for AI, optimized for performance, and backed by Forerunner Ventures and South Park Commons — Koah is the go-to ad network for monetizing GenAI. 📬 Reach out at [email protected] to get started.

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