Founding Deep Learning Engineer
Build and deploy deep learning anomaly detection for enterprise cloud security
You will work closely with the founder to build and deploy a system for enterprise customers based on Facade, a deep learning anomaly detection method invented at Google. The role involves shipping production machine learning systems for cloud access privilege security in platforms like Google Workspace, Microsoft SharePoint, and Snowflake. You will apply deep learning recommendation model experience to detect anomalies in enterprise data flows.
Why This Role?
Work directly with the founder, an author of the Facade research paper, on real-world deployment
Key Responsibilities
- Build production deep learning systems for anomaly detection in cloud environments
- Deploy machine learning models to secure enterprise cloud platforms like Google Workspace and Snowflake
- Collaborate with the founder on translating research (Facade) into a commercial security product
- Apply ETL orchestration tools to process and prepare data for deep learning pipelines
- Work with ML frameworks such as PyTorch, JAX, or TensorFlow to implement and train models
Requirements
- >5 years of experience shipping production machine learning systems
- Experience with deep learning recommendation models
- Fluency in an ML framework such as PyTorch, JAX, or TensorFlow
- Experience with ETL data orchestration tools like Spark, Beam, or Dagster
- Prior cybersecurity experience is preferred but not required
Required Skills
Indonesia Context
- Working Hours Overlap:
- Flexible — work your own hours
Keywords
View Original Description from HN Who is Hiring
Original description from HN Who is Hiring
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
Salary Context
Similar Engineering roles on LokerDollar pay around $160k/yr (range $11.194k–999.999k/yr, n=515 active listings).
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Frequently asked questions
- Is Founding Deep Learning Engineer at Palace Cybersecurity a remote job?
- Yes. Founding Deep Learning Engineer at Palace Cybersecurity is a fully remote role open to candidates worldwide.
- What type of employment is Founding Deep Learning Engineer at Palace Cybersecurity?
- This is a full time position.
- How do I apply?
- Click the "Apply" button on this page to go to the official application at Palace Cybersecurity.
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