Software Engineer Data ML
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Job Location:
San Francisco, CA - USA
Monthly Salary:
$ 180 - 300
Posted on:
11 hours ago
Vacancies:
1 Vacancy
Department:
Job Summary
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.
Were a small tight-knit team in San Francisco with backgrounds at X Apple and early-stage startups. Weve 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: youll ship code that shapes the company and the ecosystem were building. We move quickly operate with high trust and care deeply about craft.
Tooling
Infra: Render (app workers) AWS (RDS S3 Kafka) Grafana for metrics and logs
Data: PostgreSQL (primary) ClickHouse (analytics) Redis (caching & rate limiting)
Core Stack: Ruby on Rails React TypeScript
SDKs: Flutter React Native Android (Kotlin Compose) iOS (Swift)
Were looking for engineers who like digging into systems and making them fast reliable and easy to operate. Youll help us deliver ads quickly track performance accurately and scale the platform as we grow. Were building systems that will soon operate at the scale of modern analytics platforms high-volume low-latency and deeply queryable.
Example projects
Build data pipelines using Debezium to stream real-time changes from PostgreSQL to our OLAP database for analytics workloads
Reduce p99 latency in critical write paths by optimizing SQL query execution plans implementing robust retry mechanisms and enforcing strict timeouts for third-party services
Tune conversion and clickthrough rate metrics in our core ad matcher from analyzing impression and click data
Enhance ad matching algorithms using regression analysis to identify data patterns and develop hypotheses for new predictive features that improve conversion likelihood
Set up experiment tracking and observability with logs and custom metrics that make it easy for us to understand why certain ads are chosen
You might be a fit if
You like debugging and optimizing performance
You are detail oriented and use data to support your claims
You enjoy digging deeply and owning the platform side supporting product
You enjoy experimentation measuring and creating reliable systems
If youre interested please send an email to with your full name email address and resume.
Key Skills
- Anti Money Laundering
- Employee Relations
- Actuarial
- Attorney At Law
- Big Data
- Filing
