Senior Machine Learning Engineer

Cloudflare
Austin
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 3+ yearsEducation: mastersSkills: ["Technical leadership","Problem-solving","Cross-functional collaboration","Communication","Ownership"]

Architect and evolve a unified AI/ML platform that brings traditional predictive modeling together with LLM orchestration. Build production-grade AI agents and advanced chatbots, plus the scalable backends and data pipelines powering AI-driven applications. Partner with data, platform, and full-stack engineers to deliver reliable features globally, while acting as a technical anchor through design and security reviews and driving adoption of modern AI infrastructure tools.

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FursaFursa
Cloudflare
Cloudflare
2 months ago

Senior Machine Learning Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Architect and evolve a unified AI/ML platform that brings traditional predictive modeling together with LLM orchestration. Build production-grade AI agents and advanced chatbots, plus the scalable backends and data pipelines powering AI-driven applications. Partner with data, platform, and full-stack engineers to deliver reliable features globally, while acting as a technical anchor through design and security reviews and driving adoption of modern AI infrastructure tools.
Location: Austin
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Architect and evolve a highly scalable, multi-tenant AI/ML platform that unifies traditional ML with Generative AI/LLM orchestration.
  • •Design and implement production-grade AI Agents and advanced chatbots, including reliable execution environments for multi-agent systems with state and memory architectures and MCP integrations.
  • •Build high-throughput, low-latency application backends and orchestration layers, partnering with data, platform, and full-stack engineers to deliver features and reliable production operations.
  • •Serve as a technical anchor for the Data Science team by enforcing engineering standards, leading design and security reviews, and mapping business requirements to technical designs.
  • •Evaluate trade-offs and drive adoption of modern AI infrastructure tools, optimized embedding pipelines, vector databases, and serverless/edge compute paradigms such as Workers AI.

Key Requirements

  • •Extensive experience as a Senior or Lead ML Engineer, with a proven track record architecting and operating production-grade ML platforms, services, and distributed backends.
  • •Strong competency in traditional ML lifecycles (feature stores, training pipelines, model monitoring) and deep experience with generative AI patterns (RAG, context engineering, fine-tuning, guardrailing, agentic systems).
  • •Mastery of Python and robust experience with modern backend ecosystems; experience collaborating on full-stack technologies like React and TypeScript is valued.
  • •Hands-on proficiency building production-grade GenAI applications and multi-agent systems, including state management, memory architectures, and tool-calling loops.
  • •M.S. or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
Experience:3+ years
Education:Master's
Skills:Technical leadershipProblem-solvingCross-functional collaborationCommunicationOwnership
Languages:English
Tech Stack:PythonReactTypeScriptLangGraphLangChainAutogenMCPDockerKubernetesTerraformGCPAWSAzureAirflowArgo WorkflowsArgoCDBigQueryPostgresFastAPIJavaScript

Company Brief

Cloudflare
Provides a global network and cloud platform that delivers security, performance, and reliability services for web applications, APIs, and Internet properties, including CDN, DDoS protection, DNS, and zero-trust security solutions.
Industry: Cybersecurity
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 2009
WebsiteLinkedIn