Machine Learning Engineer, Cloudforce One Threat Intelligence
Job Description
Cloudflare, a leading global network provider powering millions of websites, is seeking a Machine Learning Engineer to join their Cloudforce One threat operations and research team. This role offers an exciting opportunity to apply cutting-edge machine learning to cyber threat intelligence at massive scale. As part of Cloudforce One, you'll work on identifying and disrupting cyber threats ranging from sophisticated criminal activity to nation-state sponsored APTs.
The position involves designing, developing, and deploying scalable machine learning models that leverage Cloudflare's vast global network data to identify and neutralize sophisticated cyber threats. You'll be working with unique data points at unprecedented scale, synthesizing findings into actionable threat intelligence to better protect customers.
The ideal candidate should possess strong foundational machine learning knowledge, from basic concepts to advanced implementations. You'll collaborate with data scientists, engineers, and analysts to build and deploy models for detecting various attack techniques. The role requires hands-on experience with model creation, training, deployment, and automated retraining systems.
Cloudflare offers a unique opportunity to work on cybersecurity challenges at global scale, with access to one of the world's largest networks. The company is committed to building a diverse and inclusive team, supporting continuous learning and skill development. You'll be part of a company that not only focuses on technical excellence but also maintains a strong commitment to protecting the free and open Internet through initiatives like Project Galileo and the Athenian Project.
Responsibilities For Machine Learning Engineer, Cloudforce One Threat Intelligence
- Collaborate with Data Scientists and Machine Learning Engineers to integrate and deploy scalable Machine Learning models
- Collaborate with analysts to understand new email attack techniques and design/deploy detection models
- 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
Requirements For Machine Learning Engineer, Cloudforce One Threat Intelligence
- Thorough understanding of machine learning concepts
- Experience with model creation, training, deployment, and automated retraining
- Demonstrated ability to deliver and listen to feedback
- Proven ability to deliver performance with the right behaviors
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