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Data Science Intern (Summer 2026)

Cloudflare
In-OfficePosted 14 May 2026

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. 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 Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, Texas, US Internship Dates: June 8 - August 28 or June 22 - September 11 About the team The Data Intelligence Analytics team at Cloudflare is responsible for building a unified data ML platform that enables our internal Business Partners and Product teams with actionable analytics, insights and recommendations. Our goal is to democratize data intelligence, support Cloudflare’s critical business needs, and provide self-service data AI applications to fuel existing and new business critical initiatives. About the role We are looking for a Data Scientist Intern to join our Austin team to help us extract insights from our large datasets and drive business decisions. As an intern, you’ll work alongside experienced data scientists and machine learning engineers to tackle real-world challenges in natural language processing (NLP) and AI development. What you'll do Develop and deploy predictive models to drive business outcomes Collaborate with cross-functional teams to design and implement data-driven solutions Work with large datasets to extract insights and inform business decisions Work on data preprocessing/parsing strategies to make it LLM ready Rapidly test new frameworks such as AI agents, RAG, NL2SQL, etc in the Generative AI domain Support the evaluation and benchmarking of LLM performance across various tasks and metrics Continuously involved in knowledge sharing and mentorship Examples of desirable skills, knowledge and experience B.S. or M.S in Computer Science, Statistics, Mathematics, or other quantitative fields Experience working with programming languages such as Python, SQL or Javascript Knowledge of machine learning algorithms, statistical modeling and LLMs Excellent communication problem solving skills Ability to collaborate with cross functional teams and work through ambiguous business requirements Ability to commit to a 12 week summer internship In office 3-5 days a week in Austin, TX Bonus Points Familiarity with Google Cloud Platform or something similar Familiarity with container based deployments such as Docker Kubernetes Experience with JavaScript, Typescript, and React 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. ... (truncated, view full listing at source)
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