Koahlabs

Koahlabs

Applied Scientist

San Francisco

Sponsorship not specifiedDetected 294 days ago
TypeScriptPythonRubyReactReact NativeFlutteriOSAndroidRailsAlgorithmsPostgreSQLRedisAWSTerraformGrafanaKafkaStatisticsResearch

About the role

  • 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.
  • We move quickly, operate with high trust, and care deeply about craft.

Responsibilities

  • you'll ship code that shapes the company and the ecosystem we're building.

Requirements

  • You have an advanced degree in Physics, Computer Science, Mathematics, Statistics, Engineering, or a related field
  • You have strong mathematical and statistical modeling skills
  • You enjoy communicating conclusions to both technical and non-technical audiences alike

Company info

  • 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
  • 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.
  • Working at Koah means joining at the ground floor: you'll ship code that shapes the company and the ecosystem we're building.
  • 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 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
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This listing is sourced directly from Koahlabs's careers page and normalized into a canonical job model.