Senior Infrastructure Engineer, Applied AI Engineer
Mixpeek
NYC or REMOTE (US)17d ago
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About the role
Mixpeek is multimodal AI infrastructure — we turn unstructured content (video, images, audio, documents) into searchable, programmable assets through a unified API. Think of us as the data infrastructure layer that sits between your raw media and your AI applications. If you've ever tried to build a pipeline that extracts features from video, makes them retrievable, and serves them at scale — you know this is a 12-18 month infrastructure project. We compress that to an afternoon. We're currently building MVS (Mixpeek Vector Store) — a distributed vector database built on Ray + S3, designed to handle 100B+ vectors at a fraction of the cost of existing solutions. Architecture details: shard-level WAL, LIRE-based adaptive search, replica sets, and agent-native query primitives. If you've ever wanted to rethink how vector search works from the storage layer up, this is that project. Some things we're shipping right now: - IP safety for media & sports — our copyright