Machine Learning Engineer Intern

Responsibilities

• Deploy, monitor, and support ML applications and services on Kubernetes in the cloud
• Research and implement new tools and solutions within the MLOps landscape
• Partner with Data Scientists and Data Engineers to deliver ML solutions in a distributed environment
• Leverage Cloudflare products and services for AI and ML initiatives
• Apply software engineering best practices to publish model scores and insights at scale

Requirements

• B.S. or M.S. in Computer Science, Statistics, Mathematics, or a related quantitative field
• Proficiency in programming languages such as Python, Go, or Javascript
• Strong software engineering mindset with experience in shell scripting and CLI utilities
• Experience with version control using git
• Knowledge of AI agents, inference-time optimization, and LLM evaluations
• Ability to work in-office 3-5 days a week in Austin, TX
• Ability to commit to a 12-week summer internship

Preferred Qualifications

• Familiarity with container-based deployments such as Docker and Kubernetes
• Experience with AI-assisted coding
• Experience building with the Cloudflare developer platform

About the Company

Cloudflare is on a mission to help build a better Internet. We run one of the world’s largest networks, protecting and accelerating Internet applications for millions of customers ranging from individual bloggers to Fortune 500 companies. We value builders who possess the instinct to solve complex problems and the curiosity to leverage the latest AI tools to keep the Internet moving forward.