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Posted 2mo ago•United States

Staff, MLOps Engineer

staffUnited StatesSalary undisclosed
Required Skills
PythonRustAWSGCPAzureKubernetesDockerCI/CDPyTorchLLMs
Job Description

Staff MLOps Engineer — Machine Learning Platform

Location: New York, NY / San Francisco, CA / Remote (US)

Comp Range: $220,000 – $280,000 Base + Performance Bonus + Meaningful Equity

ABOUT US

Building the ranking intelligence layer for the internet.

Sequen provides an integrated platform that pairs cutting-edge frontier ranking models with the infrastructure to run them in production—at sub-10ms latency and enterprise scale. The world's largest retailers, marketplaces, and travel platforms use Sequen to rank, recommend, and personalize, with an autonomous research engine that compounds model performance into revenue and margin lift measured in hundreds of millions of dollars per customer.

We are a small, highly technical, early-stage team focused on turning recent advances in AI into production-grade systems that operate under unforgiving real-world constraints. The problems we work on are deeply open-ended, where minor optimizations in algorithmic multi-stage retrieval and model routing translate directly into millions of dollars in client revenue.

ABOUT THE ROLE

We are looking for an MLOps Engineer to build, scale, and operate the critical

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