Senior Machine Learning Engineer

Cloudflare, Inc

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Austin, TX
Posted
117 days ago
Freshness
Confirmed live today

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How this pay compares to similar roles

Similar $219k
$168k $281k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $192,050–$246,459.

Based on 240 similar postings.

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About Cloudflare, Inc

Cloudflare is a prominent cloud services and security company that provides content delivery network (CDN), DDoS mitigation, and Zero Trust security services to millions of internet properties.

Cloudflare, Inc currently has 110 open roles on FindRole.

Listed pay typically runs $194,000–$266,000 across 56 roles with salary data.

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At a glance

TL;DR · Senior Machine Learning Engineer

The Senior Machine Learning Engineer will join the Data Intelligence & Analytics organization to serve as the principal architect for a unified AI/ML platform. You will design and build scalable backend services and data pipelines that support traditional predictive models and generative AI, including large language models and autonomous agent frameworks. Key responsibilities include developing production-grade AI agents, managing state memory architectures, and overseeing LLMOps foundations like automated prompt tracking and vector database optimization. You will utilize Python, PyTorch, TensorFlow, and Scikit-Learn alongside tools like Docker, Kubernetes, Terraform, and Airflow. The role solves the technical challenge of unifying diverse machine learning lifecycles into a high-throughput, low-latency infrastructure that powers business-critical products across go-to-market, engineering, and product teams.

What does a Machine Learning Engineer earn?

Median $235750 from 323 postings across 48 companies.

See salary data

What you'll do

  • Architect and evolve a scalable, multi-tenant AI/ML platform unifying traditional ML and Generative AI.
  • Design and implement production-grade AI Agents and Advanced Chatbots with state management and long-term memory.
  • Build high-throughput, low-latency application backends and orchestration layers for AI-driven applications.
  • Act as a technical anchor for the Data Science team by enforcing engineering standards and leading design reviews.
  • Evaluate and drive adoption of modern AI infrastructure tools, vector databases, and serverless compute paradigms.
  • Own the end-to-end technical strategy and execution of scalable data pipelines from requirements to global deployment.

What we're looking for

  • Extensive experience as a Senior or Lead ML Engineer architecting and operating production-grade ML platforms and distributed backends.
  • Strong competency in traditional ML lifecycles and deep experience in Generative AI patterns like RAG, fine-tuning, and agentic systems.
  • Mastery of Python and robust experience with modern backend ecosystems.
  • M.S. or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • 3+ years of dedicated ML Engineering experience within a large-scale, enterprise environment (preferred).
  • Hands-on proficiency in building production-grade GenAI applications using frameworks like LangGraph, LangChain, or Autogen (preferred).
  • Experience with Docker, Kubernetes, Terraform, and public cloud ecosystems (GCP, AWS, or Azure) (preferred).
  • Authorization to receive software or technology controlled under U.S. export control laws.

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