Machine Learning Engineer
Description For Machine Learning Engineer
Cloudflare, a leading Internet infrastructure company, is seeking a Machine Learning Engineer to join their Threat Intelligence team in Lisbon, Portugal. This role focuses on designing, developing, and implementing ML algorithms to enhance Cloudflare's security products, particularly Email Security. The position offers an opportunity to work with world-class data and contribute to protecting millions of websites.
The Threat Intelligence team combines external threat intelligence with data mined from Cloudflare's global network to build security intelligence into their product suite. As a Machine Learning Engineer, you'll be responsible for improving and creating innovative models to detect spam, phishing, and other malicious emails. The role requires strong foundational machine learning knowledge and hands-on experience with model deployment.
Working at Cloudflare means joining a company with a soul, committed to protecting the free and open Internet. Through initiatives like Project Galileo, the Athenian Project, and 1.1.1.1, Cloudflare demonstrates its commitment to making the Internet better and more secure for everyone. The company values diversity, inclusiveness, and provides equal opportunities to all qualified individuals.
The ideal candidate should have expertise in machine learning concepts, experience with model deployment, and a desire to see projects through from conception to production. Bonus points for experience with Deep Learning, NLP applications, and broad ML knowledge from linear regression to LLMs. This is an excellent opportunity for someone passionate about applying machine learning to solve real-world security challenges at scale.
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
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