Machine Learning Systems Engineer

About the Job

We are developing a highly scalable media intelligence platform that processes, analyzes, and structures large volumes of multimedia content across text, image, video, and audio. As a Senior Applied ML Engineer, you will architect and build the core backend systems that power media ingestion, processing workflows, metadata generation, AI‑based analysis, semantic search, and retrieval across large media libraries.

Responsibilities

Backend Architecture & System Ownership

• Architect, build, and operate scalable backend services for a media intelligence platform, with a focus on clean, maintainable, and production‑ready systems.
• Own critical backend components end to end, from system design and API contracts through implementation, deployment, monitoring, and iteration.
• Drive architectural decisions across APIs, processing pipelines, distributed compute, storage, search, observability, cloud infrastructure, ...