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Palace Cybersecurity | Founding Deep Learning Engineer
Location: New York or US Remote Source: Hacker News
About the Company
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).
About the Role
We are looking for a senior/staff level engineer to work closely with the founder—an author of the Facade paper—on building and deploying a system for enterprise customers.
Requirements
- Experience: >5 years of experience shipping production machine learning systems.
- Technical Skills:
- Experience with deep learning recommendation models.
- Fluency in an ML framework (e.g., PyTorch, JAX, or TensorFlow).
- Proficiency in ETL data orchestration (e.g., Spark, Beam, Dagster).
- Preferred: Prior experience in the cybersecurity domain is a plus, but not required.
How to Apply
Please contact us at hiring[at]palacecyber.com