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Machine Learning Engineer
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Machine Learning Engineer

Machine Learning Engineer

About us

At Cloudflare, we’re on a mission to help build a better internet. Today, the company operates one of the world’s largest networks, powering 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 single 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 improvements in performance and a decrease in spam and other attacks. Cloudflare has been named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the world’s most innovative companies by Fast Company.

We understand that people don’t fit neatly into boxes. We’re looking for curious and empathetic individuals who are committed to growing themselves and learning new skills, and we’re ready to help you get there. We can’t complete our mission without building a diverse and inclusive team. We hire the best people based on an assessment of their potential and support them throughout their time at Cloudflare. Join us!

Available locations: Hybrid – Austin, Champaign, San Francisco, Washington DC or Remote – USA

About the department

Cloudflare’s Engineering Team is comprised of some of the best engineers in the industry, dedicated to building and scaling innovative software that powers a large portion of the internet. Our Bots and Fraud Detection team develops advanced solutions to identify and mitigate malicious bot activity, ensuring the security and integrity of online applications. The team collaborates with product and other engineering teams to implement advanced fraud detection mechanisms and leverage machine learning techniques to protect digital assets from evolving threats across the cybersecurity landscape.

What you are going to do

Join Cloudflare’s Bot and Fraud Detection team to tackle real-world security challenges, leveraging massive amounts of threat intelligence data through data science and machine learning. Design, build, and scale high-performance distributed software for one of Cloudflare’s fastest-growing security products. Work with global data from over 50 million HTTP requests per second, using a tech stack that includes Go, Python, JavaScript, Rust, Lua, Kafka, Kubernetes, ClickHouse, PostgreSQL, and Jupyter notebook. Make a meaningful impact on detecting and mitigating abuse of HTTP L7 layer traffic globally.

The candidate should have a strong basic understanding of machine learning. Daily responsibilities include:

  • Work with analysts to understand new attack techniques, then design and implement models to detect these techniques
  • Deploy Machine Learning models into production systems and monitor their performance in real time.
  • Continuously improve the performance and scalability of existing Machine Learning models.
  • Identify, diagnose and resolve problems in production environments
  • Contribute to our MLOps platform to ensure the evolution of the platform

Examples of desired skills, knowledge and experience

  • In-depth knowledge of machine learning concepts such as which types of models perform best and which types of data
  • The desire to see a project through from model creation, training, productive deployment, through automated retraining based on feedback
  • Demonstrated ability to give and listen to feedback.
  • Demonstrable ability to deliver performance (what) with the right behavior (how)
  • Strong Fundamentals of Web Security

Bonus points

These are things that the role will likely require. We are happy to help you learn these on the job, but previous experience is a plus.

  • Experience in implementing Deep Learning models in production systems
  • Experience with bots and fraud detection

Compensation

The compensation may be adjusted depending on the work location.

  • For Colorado workers: Estimated annual salary of $137,000 – $167,000.
  • For employees in New York City, Washington, and California (excluding the Bay Area): Estimated annual salary of $154,000 – $188,000
  • For employees in the Bay Area: Estimated annual salary of $162,000 – $198,000.

Equity

This position qualifies for participation in Cloudflare’s stock plan.

Advantages

Cloudflare offers a full suite of benefits and programs to support you and your family. Our benefits programs can help you pay for healthcare, support caregiving, build wealth for your future, and make life a little easier and more fun! Below is a description of our benefits for employees in the United States. Benefits may vary for employees based outside the U.S.

Health Benefits

  • Medical/Rx Insurance
  • Dental insurance
  • Vision insurance
  • Flexible spending accounts
  • Commuter Expenses Bills
  • Fertility Family Building Benefits
  • On-Demand Mental Health Support and Employee Assistance Program
  • Worldwide travel insurance

Financial benefits

  • Short-term and long-term disability insurance
  • Life Accident Insurance
  • 401(k) Retirement Savings Plan
  • Employee Stock Participation Plan

Spare time

  • Flexible paid time off for vacation and sick leave
  • Leave programs, including parental leave, maternity leave, medical leave and bereavement leave

What makes Cloudflare special?

We’re not just a very ambitious, large-scale technology company. We’re a very 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.

ProjectGalileo:We provide politically and artistically important organizations and journalists with powerful tools to defend against attacks that would otherwise censor their work. This technology is already being used by Cloudflare’s enterprise customers, and it’s completely free.

Athenian Project:We created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability, free of charge, so their voters can access election information and voter registration.

1.1.1.1: We released 1.1.1.1 to help rebuild the foundation of the internet by building a faster, more secure, and privacy-focused public DNS resolver. It’s publicly available for anyone to use — it’s the first consumer-facing service Cloudflare has ever released. Here’s the deal — we never, ever store customer IP addresses. We continue to stand by our privacy promise and ensure that no user data is sold to advertisers or used to target consumers.

Does this sound like something you would like to be a part of? We would 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 agreement 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 opportunities to all and are committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to their or any 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/Disability Employer.

Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please let us know if you need a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, modifying the application process, providing documents in an alternative format, using a sign language interpreter, or using specialized equipment. If you need a reasonable accommodation to apply for a job, please contact us by email at [email protected] or by mail at 101 Townsend St. San Francisco, CA 94107.

Originally posted on Himalaya