Fraud/ML Engineer

Аналитика рынка

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Описание

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. 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 i

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