Principal Machine Learning Engineer

San Josehybridprincipal$292K – $369K

Posted today · via Workday

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About this role

The application window is expected to close on: 08/27/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received . Meet the Team We are an agile team with a startup feel and a strong bias for action. We move fast, embrace failure as part of the process, and stay focused on solving real-world problems for defenders on the front lines. Our team blends deep expertise in AI, cybersecurity, and platform engineering. We are driven by a shared belief that the only way to outpace hackers is through AI advancements that free up humans to tackle real threats and more challenging problems. This is a place for builders who thrive in ambiguity, challenge the status quo, and care deeply about making a meaningful impact.…

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What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

Skills match

For this role: pinecone, splunk, teams, split

Level fit

This role is principal-level. We check your trajectory against it.

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

Location fit

This role is based in San Jose. We weight your proximity and willingness to relocate.

Score yourself on this role.

Free · no card · written explanation included

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Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

pineconesplunkteamssplit

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