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Machine Learning Engineer, Cloudforce One Threat Intelligence
Machine Learning Engineer, Cloudforce One Threat IntelligenceCloudflare • Parañaque, Metro Manila, Philippines
Machine Learning Engineer, Cloudforce One Threat Intelligence

Machine Learning Engineer, Cloudforce One Threat Intelligence

Cloudflare • Parañaque, Metro Manila, Philippines
30+ days ago
Job description

About Us

At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code.

We realize people do not fit into neat boxes. We are looking for curious and empathetic individuals who are committed to developing themselves and learning new skills, and we are ready to help you do that. We cannot complete our mission without building a diverse and inclusive team.

About the Team

Cloudforce One is Cloudflare’s threat operations and research team, responsible for identifying and disrupting cyber threats ranging from sophisticated cyber criminal activity to nation-state sponsored advanced persistent threats (APTs).

About the Role

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.

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

  • 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)
  • What Makes Cloudflare Special?

    We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

    Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.

    Cloudflare provides reasonable accommodations to qualified individuals with disabilities.

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    Machine Learning Engineer • Parañaque, Metro Manila, Philippines

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