Adversarial ML Engineer, Fraud & Data Quality

Kled AI; United States; Remote; USD 150,000 - 250,000; Full time

Job summary

Kled AI seeks an ML Engineer focused on Fraud Detection & Data Quality to safeguard a high-volume data pipeline. You will build detectors for AI-generated content, plagiarism, deduplication, copyright risk, and metadata tampering in a fast-moving, scale-driven environment.

Work spans backend and data infra, blending computer vision, ML engineering, and human-in-the-loop verification to ensure only authentic data flows through the system.

Qualifications

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

Responsibilities

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

Skills

CV/ML experience

Production ML

SQL/PostgreSQL

Vector search

Image processing

Backend TS/Deno

Tools

PostgreSQL

S3

Python

TypeScript

Deno

Job description

Kled AI seeks an ML Engineer focused on Fraud Detection & Data Quality to safeguard a high-volume data pipeline. You will build detectors for AI-generated content, plagiarism, deduplication, copyright risk, and metadata tampering in a fast-moving, scale-driven environment.

Work spans backend and data infra, blending computer vision, ML engineering, and human-in-the-loop verification to ensure only authentic data flows through the system.