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Threat Intelligence Machine Learning Engineer

2 months ago


San Francisco, California, United States CloudFlare Full time
About the Role

We are seeking a highly skilled Machine Learning Engineer to join our Threat Intelligence team at Cloudflare. As a key member of our team, you will be responsible for designing, developing, and implementing Machine Learning algorithms and models to deploy scalable Machine Learning models.

Key Responsibilities
  • Collaborate with our Data Scientists to integrate and deploy scalable Machine Learning models.
  • Work with analysts to understand new email attack techniques and design and deploy models to detect these techniques.
  • Implement Machine Learning models in production systems and monitor their performance in real-time.
  • Continuously improve the performance and scalability of existing Machine Learning models.
  • Identify, diagnose, and resolve issues in production environments.
  • Contribute to our MLOps Platform to ensure the platform's evolution.
Requirements
  • Strong foundational machine learning knowledge.
  • Experience with deploying Deep Learning models in production systems.
  • Experience with development and deployment of Natural Language Processing (NLP) applications.
  • Wide machine learning knowledge from linear regression through LLMs.
What We Offer
  • Estimated annual salary of $140,000 - $172,000 for Bay Area-based hires.
  • Estimated annual salary of $133,000 - $163,000 for New York City, Washington, and California (excluding Bay Area) based hires.
  • Estimated annual salary of $115,000 - $160,000 for Colorado-based hires.
Benefits
  • Comprehensive health and welfare benefits.
  • Financial benefits, including 401(k) retirement savings plan and employee stock participation plan.
  • Flexible paid time off and leave programs.