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Software Engineer Data ML
Software Engineer Data MLKoah Labs • San Francisco, California, USA
Software Engineer Data ML

Software Engineer Data ML

Koah Labs • San Francisco, California, USA
[job_card.variable_days_ago]
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  • [job_card.full_time]
[job_card.job_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.

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

Employment Type : Full-Time

Department / Functional Area : Engineering

Experience : years

Vacancy : 1

Monthly Salary Salary : 180 - 300

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