Fraud/ML Engineer

• 3+ years in computer vision / ML (PyTorch or TensorFlow) • Production ML deployment experience • Strong SQL / PostgreSQL skills • Experience with vector search (FAISS, pgvector, Pinecone) • Image processing (OpenCV, PIL) • Comfort shipping backend systems (TypeScript/Deno or similar)

Bonus:

• Deepfake detection • Reverse image search systems • Copyright detection pipelines • Trust & Safety infrastructure

Backend

• PostgreSQL (Supabase) – 100’s of millions of media files • S3 storage • Deno / TypeScript edge functions • Python detection pipelines

Frontend

• SwiftUI (migrating to Flutter) • Internal verification tooling

You’ll join a team operating at the frontier of applied AI data infrastructure.

In this role, you’ll have the opportunity to:

• Own core systems that power one of the largest human data networks in the world • Design infrastructure that directly influences what data trains next-generation AI models • Build at real scale - millions of uploads per day, adversarial environments, global contributors • Ship alongside a team that has built marketplaces, AI systems, and products used by millions

If you’re excited to move fast, build systems that matter, and help define how human data powers frontier AI, let’s talk.