Machine Learning Engineer
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.
Responsibilities
- check_circle Architect Semantic Layers: Design and develop the software infrastructure to layer semantic meaning over our existing data stack, including Kubernetes, Trino, and Iceberg.
- check_circle Build Knowledge Graphs: Construct and maintain large-scale knowledge graphs from unstructured and structured sources to enable advanced reasoning.
- check_circle Develop AI Software: Build production-grade software and APIs that leverage LLMs and Graph RAG pipelines to solve complex business queries.
- check_circle Enhance Data Intelligence: Implement embedding-based retrieval and semantic deduplication to improve the precision and reliability of AI agents.
- check_circle Collaborate on AI Solutions: Work with cross-functional teams to deploy conversational agents and automated diagnostics tools that turn data into actionable business value.
Basic qualifications
- 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.
- 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.
Benefits
- check_circle Medical/Rx Insurance
- check_circle Dental Insurance
- check_circle Vision Insurance
- check_circle Flexible Spending Accounts
- check_circle Commuter Spending Accounts
- check_circle Fertility & Family Forming Benefits
- check_circle On-demand mental health support and Employee Assistance Program
- check_circle Global Travel Medical Insurance
- check_circle Short and Long Term Disability Insurance
- check_circle Life & Accident Insurance
- check_circle 401(k) Retirement Savings Plan
- check_circle Employee Stock Participation Plan
- check_circle Flexible paid time off covering vacation and sick leave
- check_circle Leave programs, including parental, pregnancy health, medical, and bereavement leave
About the company
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.
We realize people do not fit into neat boxes. We are looking for curious and empathetic individuals who are committed to developing themselves and learning new skills, and we are ready to help you do that. We cannot complete our mission without building a diverse and inclusive team. We hire the best people based on an evaluation of their potential and support them throughout their time at Cloudflare. Come join us!
**Available Locations: Austin