Fraud/ML Engineer

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

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

Our mission is to let anyone download the app and earn a real living wage from uploading their data.

ABOUT THE ROLE

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

This is adversarial ML at scale, not academic benchmarks.

Example:
A user is tasked with uploading a video of themselves taking out the trash. The user uploads a video of their dog. The upload is rejected automatically.

But more complex. More requirements. At scale.

WE’RE LOOKING FOR

• 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

CURRENT STACK

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

COMPENSATION

• Base salary: $150,000 - $250,000
• $150,000 - $350,000 equity

We move fast and work hard.

If you're excited to build large-scale adversarial ML systems that sit at the core of next-gen AI data infrastructure, let's talk.

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

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