Fraud & ML Engineer — Adversarial AI Data Quality + Equity

Kled AI; California; On-site; USD 150,000 - 250,000; Full time

Job summary

Kled AI is seeking an ML Engineer in California to fortify fraud detection and data quality for a high-scale data network. You’ll design and deploy systems that ensure authentic, high-signal data passes through the pipeline, including AI-generated image/video detection and copyright risk checks.

You’ll work with PyTorch/TensorFlow, SQL/PostgreSQL, vector search (FAISS/pgvector/Pinecone), OpenCV/PIL, and TypeScript/Deno on backend, shipping robust production ML.

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)

Responsibilities

• Develop AI-generated image & video detection
• Implement reverse image search & copyright risk checks
• Perform duplicate fingerprinting (vector + perceptual hashing)
• Implement copyright risk detection pipelines
• Detect EXIF / metadata tampering
• Build fraud network & device clustering systems
• Create human-in-the-loop verification pipelines

Skills

Computer vision

ML engineering

Production ML deployment

SQL

PostgreSQL

Vector search

Image processing

Backend shipping

Tools

FAISS

pgvector

Pinecone

OpenCV

PIL

TypeScript/Deno

Job description

Kled AI is seeking an ML Engineer in California to fortify fraud detection and data quality for a high-scale data network. You’ll design and deploy systems that ensure authentic, high-signal data passes through the pipeline, including AI-generated image/video detection and copyright risk checks.

You’ll work with PyTorch/TensorFlow, SQL/PostgreSQL, vector search (FAISS/pgvector/Pinecone), OpenCV/PIL, and TypeScript/Deno on backend, shipping robust production ML.