Machine Learning Engineer

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 About the Team The Core Data team’s mission is building a centralized data platform for Cloudflare that provides secure, democratized access to data for internal customers throughout the company. We operate infrastructure and craft tools to empower both technical and non-technical users to answer their most important questions. We facilitate access to data from federated sources across the company for dashboarding, ad-hoc querying and in-product use cases. We power data pipelines and data products, secure and monitor data, and drive data governance at Cloudflare. Our work enables every individual at the company to act with greater information and make more informed decisions. About the Role We are looking for a Machine Learning Engineer to lead the transformation of our data lakehouse into a semantically-aware intelligence platform. Instead of traditional ETL, this role focuses on building the software layer that extracts meaning from our vast data stores. You will be responsible for developing and leveraging a Semantic Knowledge Graph to power LLM-driven applications, discovery tools, and automated reasoning systems that serve business needs across Product, Marketing, and Billing. What You'll Do Architect Semantic Layers: Design and develop the software infrastructure to layer semantic meaning over our existing data stack, including Kubernetes, Trino, and Iceberg. Build Knowledge Graphs: Construct and maintain large-scale knowledge graphs from unstructured and structured sources to enable advanced reasoning. Develop AI Software: Build production-grade software and APIs that leverage LLMs and Graph RAG pipelines to solve complex business queries. Enhance Data Intelligence: Implement embedding-based retrieval and semantic deduplication to improve the precision and reliability of AI agents. Collaborate on AI Solutions: Work with cross-functional teams to deploy conversational agents and automated diagnostics tools that turn data into actionable business value. Requirements 3-5+ years of experience in software or machine learning engineering with a focus on AI-driven applications. Expertise in Knowledge Representation: Proven experience building knowledge graphs (e.g., HNSW, Neptune) and using graph-based reasoning for AI. Proficiency with LLMs GenAI: Hands-on experience with RAG pipelines, fine-tuning (SFT/LoRA), and LLM-as-a-judge evaluation frameworks. Strong Backend S ... (truncated, view full listing at source)