Machine Learning Engineer, Cloudforce One Threat Intelligence

Cloudflare • San Francisco, CA

23h

About The Position

We're looking for a Machine Learning Engineer to join our team and lead the charge in applying cutting-edge machine learning to cyber threat intelligence. In this highly impactful, hands-on role, you'll design, develop, and deploy scalable machine learning models that leverage massive datasets from our global network to identify and neutralize sophisticated cyber threats. Your expertise will directly enhance our Cloudforce One offering, providing critical, real-time insights and unparalleled protection to our customers. If you're driven to solve complex cybersecurity challenges at an unprecedented scale, we want you on our team. The candidate should have strong foundational machine learning knowledge.

Requirements

• Thorough understanding of machine learning concepts such as what types of models perform best again what types of data
• Desire to see a project through all the way from model creation, training, productionalized deployment, through automated retraining from feedback
• Demonstrated ability to deliver and listen to feedback.
• Proven ability to deliver performance (what) with the right behaviors (how)

Nice To Haves

• 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
• A basic understanding of the cyber threat landscape and technical Indicators of Compromise (IOCs)

Responsibilities

• Collaborate with other Data Scientists and Machine Learning Engineers to integrate and deploy scalable Machine Learning models
• Collaborate with analysts to understand new email attack techniques then 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 1,001-5,000 employees