Doppel

Machine Learning Engineer

Doppel

full-time

Posted on:

Origin:  • 🇺🇸 United States • New York

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Job Level

Mid-LevelSenior

Tech Stack

Cyber Security

About the role

  • Design, train, and deploy models for both batch and real-time inference that identify malicious or infringing content across diverse data sources.
  • Partner closely with the Detection and Infrastructure teams to ensure our ML systems scale with the volume of web data we ingest
  • Work on problems that range from NLP and embeddings to similarity search, classification, and anomaly detection
  • Collaborate directly with customers and internal stakeholders to translate real-world threats into production ML systems
  • Work on scalable systems that monitor billions of domains, social media accounts, apps, dark web forums, etc., and leverage AI agents to identify and neutralize digital threats.

Requirements

  • Have experience building and deploying ML systems in production environments
  • Are comfortable working with large-scale datasets and distributed data processing frameworks
  • Understand the trade-offs between research-quality models and production-ready systems
  • Are excited about solving real-world problems where the adversary is constantly evolving
  • Experience with NLP and embeddings, similarity search, classification, and anomaly detection
  • Partnering with Detection and Infrastructure teams (collaboration skills)
  • Collaborate directly with customers and internal stakeholders