Machine Learning Engineer at Cloudflare

Machine Learning Engineer job at Cloudflare. Remote.

About Us

At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the worlds 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. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazines Top Company Cultures list and ranked among the Worlds Most Innovative Companies by Fast Company.

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. We hire the best people based on an evaluation of their potential and support them throughout their time at Cloudflare. Come join us!

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

Bonus Points

These are things which the role is likely to require; were happy to help you learn on the job, but prior experience is beneficial

What Makes Cloudflare Special?

Were not just a highly ambitious, large-scale technology company. Were 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.

Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflares enterprise customersat no cost.

In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.

1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Heres the deal - we dont store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something youd like to be a part of? Wed love to hear from you!

This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.

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. We are an AA / Veterans / Disabled Employer.

Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@ or via mail at 101 Townsend St. San Francisco, CA 94107.

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