Fraud/ML Engineer

The role

You will build AI-generated image and video detection, reverse image search, and fraud network systems. You will ensure only authentic, high-signal, human data passes through the system at scale.

What you will do

• Build AI-generated image and video detection
• Build reverse image search and internet plagiarism rejection
• Build duplicate fingerprinting using vector and perceptual hashing
• Build copyright risk detection
• Build EXIF and metadata tampering detection
• Build fraud network and device clustering systems
• Build human-in-the-loop verification pipelines

Required qualifications

• 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)

Nice to have

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

About the company

Kled is building a consumer application where people upload real photos, videos, and documents to earn a living wage. The company filters, standardizes, and licenses this data to frontier AI labs and enterprises.