Lead ML Architect for Scalable AI/LLM Platform

Cloudflare; United States; Hybrid; USD 130,000 - 160,000; Full time

Benefits offered by this job

Equal Opportunity Employer

Diversity and Inclusiveness Initiatives

Reasonable accommodations for applicants with disabilities

Job summary

Cloudflare is seeking a Lead Machine Learning Engineer for the Austin team. This role focuses on architecting a next-gen AI/ML platform, working with predictive models and generative AI technologies. You will oversee the technical strategy and execution for scalable backend services and data pipelines, shaping the future of AI at Cloudflare.

The ideal candidate has a strong background in AI systems and extensive experience in ML engineering.

Qualifications

• Extensive experience in ML Engineering and production-grade ML platforms.
• Strong competency in AI and ML lifecycles.
• Mastery of Python and experience with backend ecosystems.
• Experience in mentoring engineers and fostering technical excellence.

Responsibilities

• Architect and develop scalable AI/ML platforms.
• Design robust production-grade AI agents and chatbots.
• Build high-throughput application backends.
• Drive technical strategy from design to deployment.

Skills

AI/ML platform architecture

Production-grade ML platforms

Python programming

Distributed systems

Containerization using Docker

Kubernetes orchestration

MLOps platform tools

Data pipeline design

Education

M.S. or Ph.D. in Computer Science, Statistics, Mathematics, or related field

Tools

BigQuery

Postgres

Terraform

Job description

Cloudflare is seeking a Lead Machine Learning Engineer for the Austin team. This role focuses on architecting a next-gen AI/ML platform, working with predictive models and generative AI technologies. You will oversee the technical strategy and execution for scalable backend services and data pipelines, shaping the future of AI at Cloudflare.

The ideal candidate has a strong background in AI systems and extensive experience in ML engineering.