Machine Learning Engineer
Description For Machine Learning Engineer
Cloudflare, a leading global network provider powering millions of websites, is seeking a Machine Learning Engineer for their Threat Intelligence team. This role focuses on building security intelligence into their suite of products, particularly Email Security. The position involves designing, developing, and implementing ML algorithms to detect spam, phishing, and malicious emails.
The ideal candidate will work at the intersection of data science, security, and engineering, helping to process large volumes of data and build intelligence into Cloudflare's products. This hands-on role requires strong foundational machine learning knowledge and the ability to take models from conception to production.
Cloudflare offers a unique opportunity to impact Internet security at scale. The company is known for its innovative approach to Internet security and performance, running one of the world's largest networks. They're committed to building a diverse and inclusive team, offering support for personal growth and development.
The role is based in Lisbon, Portugal, offering a hybrid work environment. You'll be joining a company with significant projects like Project Galileo, which protects journalism and civil society organizations, and the Athenian Project, which secures election websites. Cloudflare's commitment to privacy and security is demonstrated through initiatives like their 1.1.1.1 DNS resolver.
This is an excellent opportunity for a machine learning professional who wants to apply their skills to real-world security challenges while working with cutting-edge technology and contributing to a better, safer Internet.
Responsibilities For Machine Learning Engineer
- 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
- 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
