Role overview
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 work on
- 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.
What we're looking for
- Experience with Semantic Search and hybrid vector search query engines.
- Familiarity with MLOps and deploying models within Kubernetes environments.
- Published research or a strong background in Applied ML or Computational Intelligence.
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.