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Palace Cybersecurity

Founding Deep Learning Engineer

Palace Cybersecurity | Founding Deep Learning Engineer | New York or US Remote

Location
New York or US Remote
Work mode
Remote
Employment
Unspecified
Compensation
Not stated
Posted
Source author
@cneo

About Palace Cybersecurity

Palace Cybersecurity secures large organizations from employees abusing cloud access privileges (Google Workspace, Microsoft SharePoint, Snowflake). We are commercializing Facade, a method for deep learning anomaly detection invented and deployed at Google (published at https://arxiv.org/abs/2412.06700).

Company website: arxiv.org

Original job description

Palace Cybersecurity | Founding Deep Learning Engineer | New York or US Remote

Palace Cybersecurity secures large organizations from employees abusing cloud access privileges (Google Workspace, Microsoft SharePoint, Snowflake). We are commercializing Facade, a method for deep learning anomaly detection invented and deployed at Google (published at https://arxiv.org/abs/2412.06700).

Looking for a senior/staff level engineer with >5 YoE shipping production machine learning systems, and some experience with deep learning recommendation models. Prior experience in the cybersecurity domain is preferred, but not required. Fluency in an ML framework (e.g. Pytorch, Jax, or Tensorflow) and ETL data orchestration (e.g. Spark, Beam, Dagster) is required. You will work closely with the founder, an author of the above paper, on building and deploying a system for enterprise customers.

Contact at hiring[at]palacecyber.com

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