Staff ML Systems Engineer - Media Intelligence

About the job

We are building a highly scalable media intelligence platform that processes, analyzes, and flags potentially problematic content across large volumes of video, audio, image, and text. The platform powers content safety workflows for Tether Data products, including Keet, and must operate reliably at scale across diverse languages, formats, and content types.

Responsibilities

• Backend Architecture & System Ownership
  • Design and operate scalable backend services for media ingestion, processing, and report generation - clean, well-tested, and built for horizontal scaling from day one
  • Own API contracts, data models, and storage patterns for media assets, processing jobs, model outputs, embeddings, and audit trails
  • Build high-throughput async processing pipelines for video, audio, image, and text using queues and event-driven patterns (SQS, Kafka, Pub/Sub, or equivalent)
  • Implement reliable asy...