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 600,000+ active data contributors
Processed 5M uploads per day
Raised $15M+ 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
$750,000 – $1,500,000 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.
Compensation Range: $150K - $250K