Kled AI

The role involves building systems to ensure only authentic, high-signal, human data passes through millions of daily file uploads, focusing on adversarial ML at scale. Responsibilities include developing AI-generated content detection, plagiarism rejection, duplicate fingerprinting, and fraud network clustering systems.

The role involves designing and shipping core upload flows for media ingestion (photo, video, document) and building high-performance media handling systems for the consumer application. Responsibilities also include optimizing performance, implementing fraud detection, building contributor incentive systems, and collaborating with backend and ML teams.

The engineer will be responsible for optimizing and scaling the PostgreSQL (Supabase) infrastructure to handle millions of daily media records, focusing on indexing, partitioning, and query strategies for large-scale datasets. This role also involves building internal tools, designing dataset exports, and supporting new features across backend, ML, and product teams.

ML Engineer focusing on fraud detection in a consumer application

iOS Engineer developing mobile experiences for Kled's data collection app

Full Stack Engineer optimizing PostgreSQL infrastructure for consumer data app