Fraud/ML Engineer

Kled AI · Remote · United States ·
Fully remoteFull-timeMiddle3–5 years
COMPENSATION
$150k – $250k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Fully remote
  • Senior level
  • Python + TypeScript
  • Computer Vision focus
  • Equity package

You will ensure only authentic, high-signal human data enters the system by building detection pipelines for AI-generated media, plagiarism, and fraud networks. This position involves handling millions of daily uploads through robust computer vision and backend infrastructure.

What you'll do

  • 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 mechanisms
  • Detect EXIF and metadata tampering
  • Build fraud network and device clustering systems
  • Design human-in-the-loop verification pipelines

What you'll need

  • 3+ years experience in computer vision or ML
  • Proficiency with PyTorch or TensorFlow
  • Experience deploying ML models in production
  • Strong SQL and PostgreSQL skills
  • Knowledge of vector search tools like FAISS or Pinecone
  • Image processing experience with OpenCV or PIL
  • Ability to ship backend systems using TypeScript or Deno

Nice to have

  • Experience with deepfake detection
  • Background in reverse image search systems
  • Knowledge of copyright detection pipelines
  • Experience building Trust and Safety infrastructure

Stack

  • PostgreSQL
  • Supabase
  • S3
  • Deno
  • TypeScript
  • Python
  • SwiftUI
  • Flutter
  • PyTorch
  • TensorFlow
  • FAISS
  • pgvector
  • Pinecone
  • OpenCV
  • PIL

What you get

  • Base salary between $150,000 and $250,000
  • Equity grant valued between $750,000 and $1,500,000