Fraud/ML Engineer

Job Overview

ML Engineer - Fraud Detection & Data Quality
Every day, millions of files hit our system. Your job is to make sure only authentic, high-signal, human data gets through. You’ll build:

• AI-generated image & video detection
• Reverse image search & internet plagiarism rejection
• Duplicate fingerprinting (vector + perceptual hashing)
• Copyright risk detection
• EXIF / metadata tampering detection
• Fraud network & device clustering systems
• Human-in-the-loop verification pipelines

Key Responsibilities

You will be responsible for building and maintaining systems that ensure the quality and authenticity of data uploaded to our platform. This includes developing and deploying machine learning models to detect fraud, plagiarism, and other forms of data manipulation.

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)

Bonus Qualifications

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

About Kled

Kled is building the largest opt-in human data network in the world. We are not a labeling firm. We are not a task marketplace. We are a consumer application where people upload their real photos, videos, and documents and get paid continuously. We then filter, standardize, and license that data to frontier AI labs and enterprises that need fresh, rights-aware training data.

Since launching our mobile app in 2026, we have:

• Reached #1 on the App Store (Finance) with 0 paid marketing
• Scaled to 200,000+ active data contributors
• Processed 1.5–3M uploads per day
• Raised $5M+ from investors behind SpaceX, Airbnb, Coinbase, xAI, OpenAI, Anthropic, Spotify, Lyft, Uber, and more

Current Stack

Backend

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

• SwiftUI (migrating to Flutter)
• Internal verification tooling

Compensation

Base salary: $150,000 – $250,000
Equity: $150,000 – $350,000

Growth Opportunity

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