Senior Machine Learning Engineer
Cloudflare· Business Intelligence
Hybrid (Austin, TX)full-timePosted 3mo ago
About the role
Lead ML Engineer role focused on architecting and deploying a unified AI/ML platform, spanning traditional ML and Generative AI/LLMs, with end-to-end ownership from requirements to global deployment in a hybrid Austin, TX setting.
Responsibilities
- Architect and evolve a highly scalable, multi-tenant AI/ML platform that seamlessly unifies traditional ML (classification, regression, forecasting) and Generative AI/LLM orchestration.
- Design and implement robust production-grade AI Agents and Advanced Chatbots. Build reliable execution environments for Multi-Agent Systems, including state management, long-term memory architectures, and Model Context Protocol (MCP) server integrations.
- Build high-throughput, low-latency application backends and orchestration layers. Partner closely with data, platform, and full-stack engineers to ensure seamless feature delivery and reliable production operations.
- Act as a technical anchor for the Data Science team – enforcing rigorous engineering standards, leading design and security reviews, evaluating build-vs-buy decisions, and mapping business requirements to robust technical designs.
- Evaluate trade-offs and drive adoption of modern AI infrastructure tools, optimized embedding pipelines, vector databases, and serverless compute paradigms (such as Workers AI).
Qualifications
- Extensive experience as a Senior or Lead ML Engineer, with a proven track record of architecting and operating production-grade ML platforms, services and distributed backends.
- Strong competency in Traditional ML lifecycles (feature stores, training pipelines, model monitoring) alongside deep experience in Generative AI patterns (RAG pipelines, context engineering, fine-tuning, guardrailing, and agentic AI systems).
- Mastery of Python and robust experience with modern backend ecosystems. Familiarity with (or willingness to collaborate on) full-stack technologies like React and TypeScript is highly valued.
- A builder's mindset. You are comfortable navigating ambiguity, shaping your own technical roadmap, adapt as needed and taking extreme ownership of system reliability, costs, and model performance.
Skills
Required:AI/ML Platform ArchitectureGenerative AI / LLMsPythonBackend / Distributed Systems
Nice to have:Full-stack Familiarity
Benefits
- 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
Last updated Sep 2, 2026. Interested? Apply on the company site.
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