Senior Machine Learning Engineer - Cloudflare

About Cloudflare

At Cloudflare, we are on a mission to help build a better Internet. We run one of the world’s largest networks, powering millions of websites and protecting them from attacks without requiring hardware or software changes. We value builders who spot "normalized" problems and use AI-native curiosity to create solutions.

About the Team

The Data Intelligence & Analytics organization builds the core data platform and internal products that power decision-making across the company. We design and operate large-scale data systems, including our data lake, ingestion infrastructure, and platform tooling.

About the Role

We are looking for a visionary and hands-on Lead Machine Learning Engineer to join our Austin team. You will be the principal architect behind our next-generation unified AI/ML platform, designing infrastructure that powers everything from traditional predictive models to generative AI, LLMs, and autonomous agent frameworks.

What You'll Do

• Architect and evolve a highly scalable, multi-tenant AI/ML platform.
• Design and implement production-grade AI Agents and Advanced Chatbots, including state management and long-term memory architectures.
• Build high-throughput, low-latency application backends and orchestration layers.
• Act as a technical anchor for the Data Science team, enforcing engineering standards and leading design reviews.
• Evaluate and adopt modern AI infrastructure tools, vector databases, and serverless compute paradigms.

Requirements

• Extensive experience as a Senior or Lead ML Engineer with a track record of operating production-grade ML platforms.
• Strong competency in traditional ML lifecycles (feature stores, training pipelines) and Generative AI patterns (RAG, fine-tuning, guardrailing).
• Mastery of Python and modern backend ecosystems.
• A builder's mindset: comfortable navigating ambiguity and taking ownership of system reliability and performance.
• Experience with Docker, Kubernetes, and Infrastructure-as-Code (Terraform).
• M.S. or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.

Benefits

• Comprehensive health, dental, and vision insurance.
• 401(k) retirement savings plan and Employee Stock Participation Plan.
• Flexible paid time off and parental leave programs.
• Fertility and family-forming benefits.
• On-demand mental health support.