Fraud/ML Engineer
Kled AI operates a human data marketplace where contributors upload photos, videos, and other data to earn income.
Funding history
About Kled AI
Kled AI sources large, licensable datasets from verified human contributors. Its mobile app enables users to upload photos, videos, and other content, complete tasks, and receive payouts through methods including Venmo, PayPal, and crypto. Kled also offers datasets and an enterprise portal for organizations to find, filter, and assemble AI-ready data using natural-language search. Its stated clients include leading AI laboratories, governments, and research institutions.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
Build systems that ensure only authentic, high-signal human data passes through a platform processing millions of files daily, including AI-generated content detection, reverse image search, duplicate fingerprinting, copyright risk detection, metadata tampering detection, fraud clustering, and human verification pipelines.
Requirements
- 3+ years in computer vision or machine learning using PyTorch or TensorFlow
- Production machine learning deployment experience
- Strong SQL and PostgreSQL skills
- Experience with vector search using FAISS, pgvector, or Pinecone
- Image processing experience with OpenCV and PIL
- Comfort shipping backend systems with TypeScript, Deno, or similar
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