Machine Learning Engineer

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 Skills: Proficient in Python, Go, or TypeScript, with the ability to build and debug complex software systems.
• Analytical Mindset: Strong ability to understand how semantic data structures drive business value and improve user decision-making.
• B.S. or M.S. in Computer Science, Engineering, Mathematics, or related fields.
• Solid understanding of systems engineering principles and practices.

Desirable Skills

• 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.
Health & Welfare Benefits

• Medical/Rx Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Accounts
• Commuter Spending Accounts
• Fertility & Family Forming Benefits
• On-demand mental health support and Employee Assistance Program
• Global Travel Medical Insurance

Financial Benefits

• Short and Long Term Disability Insurance
• Life & Accident Insurance
• 401(k) Retirement Savings Plan
• Employee Stock Participation Plan

Time Off

• Flexible paid time off covering vacation and sick leave
• Leave programs, including parental, pregnancy health, medical, and bereavement leave