Intelligence Engineer - Real-time

Verisoul•Austin, TX

2d•Onsite

About The Position

Detect fraud, fake accounts, bots, and user clusters in milliseconds using real-time signals and ML modeling. Own the streaming architecture and real-time logic that separates real users from bots instantly.

Requirements

4+ years as an engineer, data scientist, ML engineer, or similar
Experience handling high-volume data ingestion in production.
Built large scale models from the ground up with data collection, feature engineering, modeling and monitoring
You look at a raw stream of events and see a story.
You enjoy the "cat and mouse" game of digital forensics.
You look beyond existing solutions and raw data, diving deep into the underlying meaning and ground truth.

Nice To Haves

R&D device, network and behavioral features

Responsibilities

Create, test, and deploy real-time signal collection and modeling architecture to separate good and bad users.
Develop infrastructure for large scale pipelines that still allow fast iteration.
Build ML models and heuristic logic that adapt to shifting attack vectors.
Optimize Latency: Shave milliseconds off event pipelines for instant scoring.
Connect intelligence to platform APIs for immediate customer loops.