Cloudflare

3 weeks ago

Senior Machine Learning Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 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

Website LinkedIn

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Cloudflare

3 weeks ago

Senior Machine Learning Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

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

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

Website LinkedIn