Koah
MarTech & AdTechDirect Ashby career site

Applied Scientist

Location
San Francisco, CA (Remote) · On-site
Job type
Full-time
Level
Mid-level
Education
Master's degree
Listed
30 days ago

Skills & highlights for this role

  • statistical modeling
  • machine learning
  • hypothesis testing
  • real-time bidding algorithms
  • privacy-preserving clustering

Also useful

  • regression modeling
  • PostgreSQL
  • Python

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

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.

Read the original posting

From Koah's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.

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Common questions

Where is the Applied Scientist job at Koah located?

Yes, this Applied Scientist opening at Koah is listed as San Francisco, CA (Remote) (On-site). Always check Koah's application page for specific state eligibility or relocation policies.

What qualifications are required for Applied Scientist at Koah?

For the Applied Scientist role, Koah highlights a master's degree; experience with statistical modeling, machine learning, hypothesis testing, real-time bidding algorithms, privacy-preserving clustering. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Applied Scientist position at Koah?

This listing links directly to Koah's Ashby application page. You can apply directly on Koah's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.

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