Machine Learning Engineer

Available locations: Lisbon, Portugal
About The Team
The Threat Intelligence team is responsible for helping teams build security intelligence into our security suite of products. The team fuses threat intelligence from a swath of external sources with intelligence mined from Cloudflare's world class data to provide threat intelligence used across a number of Cloudflare products. The team's core disciplines are data engineering, data science, devops, and security. We use data science and machine learning to process large volumes of data and build intelligence into Cloudflare's products.
What you'll do
We are seeking a Machine Learning Engineer to join our team. The successful candidate will work on designing, developing, and implementing Machine Learning algorithms and models to deploy scalable Machine Learning models. This is a hands-on position where the candidate will have the opportunity to work in our security portfolio that includes our Email Security products. This role will initially primarily support Cloudflare Email Security in improving and creating new innovative models to better detect spam, phishing, or other malicious emails.
The candidate should have strong foundational machine learning knowledge. Day to day responsibilities include:

• 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

Examples of desirable skills, knowledge and experience

• 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)

Bonus Points
These are things which the role is likely to require; we're happy to help you learn on the job, but prior experience is beneficial

• 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