Description
We are looking for a Model Serving Engineer to own the production inference layer for NEXUS, our Large Tabular Model. You will be responsible for serving models reliably and efficiently at scale, working primarily with Triton Inference Server and building the infrastructure that brings our research directly to customers. This is a deeply technical, Python-heavy role that sits at the intersection of systems engineering and applied ML.
Company
Fundamental develops foundation models tailored for real-world tabular data. Its flagship model NEXUS aims to predict outcomes across industries, with emphasis on enterprise-grade privacy, security, and production readiness. The company positions itself as building a new category of AI for tabular data, created by DeepMind alumni and backed by leading VCs.
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