Fraud/ML Engineer
Kled AI is a data marketplace that sources large-scale licensable datasets from verified human contributors, powering leading AI companies, governments, and research institutions. It also has a token, $KLED, used as a rewards currency within its data marketplace.
Projects
About Kled AI
Kled AI operates 'the leading data marketplace,' sourcing what it describes as the largest licensable datasets on the planet from verified contributors around the world. Through its mobile app, everyday users upload photos, videos, and other personal or professional content (e.g., student work, photography, financial data) and get paid for it, while Kled aggregates and licenses this human-sourced data to leading AI labs, governments, and research institutions. The company also conducts its own research on data curation and model fine-tuning (e.g., its 'Uncanny Valley of Perfection' computer vision research), and maintains a token ($KLED) used as a rewards currency for contributors. Kled has raised $10M in funding, received a $3M investment from The DATA Foundation, and secured an $8M financial data request, indicating growth across enterprise, government, and research client segments. It is backed by a range of angel investors from entertainment, tech, and venture backgrounds. The company operates as 'A Nitrility Inc. Company.'
Skills
About the Role
You will make sure that only authentic, high-signal, human data gets through a system that processes millions of files every day. You'll build AI-generated image and video detection, reverse image search and plagiarism rejection tools, duplicate fingerprinting using vector and perceptual hashing, copyright risk detection, EXIF and metadata tampering detection, fraud network and device clustering systems, and human-in-the-loop verification pipelines. You'll work on adversarial machine learning problems at scale rather than academic benchmarks, catching increasingly complex fraud attempts across a massive volume of daily uploads.
Requirements
- 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)
- Deepfake detection experience is a bonus
- Reverse image search systems experience is a bonus
- Copyright detection pipelines experience is a bonus
- Trust & Safety infrastructure experience is a bonus
Responsibilities
- Build AI-generated image and video detection systems
- Build reverse image search and internet plagiarism rejection tools
- Implement duplicate fingerprinting using vector and perceptual hashing
- Build copyright risk detection systems
- Detect EXIF and metadata tampering
- Build fraud network and device clustering systems
- Build human-in-the-loop verification pipelines
Benefits
- Equity compensation