CloudFlare
Machine Learning Engineer - Threat Intelligence
CloudFlare, San Francisco, California, United States, 94199
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 our Data Scientists 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.
Contribute to our MLOps Platform to ensure the platform's evolution.
Examples of desirable skills, knowledge and experience
Thorough understanding of machine learning concepts such as what types of models perform best against 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.
Compensation
Compensation may be adjusted depending on work location. There are multiple levels open on the team, both mid & senior level.
For Bay Area-based hires: Estimated annual salary of $140,000 - $172,000.
For New York City, Washington, and California (excluding Bay Area) based hires: Estimated annual salary of $133,000 - $163,000.
For Colorado-based hires: Estimated annual salary of $115,000 - $160,000.
Available Locations: Remote US
Equity
This role is eligible to participate in Cloudflare’s equity plan.
Benefits
Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.
Health & Welfare Benefits
Medical/Rx Insurance
Dental Insurance
Vision Insurance
Flexible Spending Accounts
Commuter Spending Accounts
Fertility & Family Forming Benefits
On-demand mental health support and Employee Assistance Program
Global Travel Medical Insurance
Financial Benefits
Short and Long Term Disability Insurance
Life & Accident Insurance
401(k) Retirement Savings Plan
Employee Stock Participation Plan
Time Off
Flexible paid time off covering vacation and sick leave.
Leave programs, including parental, pregnancy health, medical, and bereavement leave.
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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 our Data Scientists 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.
Contribute to our MLOps Platform to ensure the platform's evolution.
Examples of desirable skills, knowledge and experience
Thorough understanding of machine learning concepts such as what types of models perform best against 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.
Compensation
Compensation may be adjusted depending on work location. There are multiple levels open on the team, both mid & senior level.
For Bay Area-based hires: Estimated annual salary of $140,000 - $172,000.
For New York City, Washington, and California (excluding Bay Area) based hires: Estimated annual salary of $133,000 - $163,000.
For Colorado-based hires: Estimated annual salary of $115,000 - $160,000.
Available Locations: Remote US
Equity
This role is eligible to participate in Cloudflare’s equity plan.
Benefits
Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.
Health & Welfare Benefits
Medical/Rx Insurance
Dental Insurance
Vision Insurance
Flexible Spending Accounts
Commuter Spending Accounts
Fertility & Family Forming Benefits
On-demand mental health support and Employee Assistance Program
Global Travel Medical Insurance
Financial Benefits
Short and Long Term Disability Insurance
Life & Accident Insurance
401(k) Retirement Savings Plan
Employee Stock Participation Plan
Time Off
Flexible paid time off covering vacation and sick leave.
Leave programs, including parental, pregnancy health, medical, and bereavement leave.
#J-18808-Ljbffr