Lead ML Engineer: AI Platform & Agents

FDE Times; Aceh; Hybrid; IDR 2,714,441,000 - 3,438,292,000; Full time

Benefits offered by this job

Health and welfare benefits

401(k) retirement savings

Employee stock participation

Flexible paid time off

Job summary

Cloudflare is seeking a visionary Lead Machine Learning Engineer in Austin, TX to architect and build the next generation of our unified AI/ML platform. You will own the end-to-end strategy, from requirements to global deployment, delivering scalable, multi-tenant backends and robust data pipelines powering AI-driven applications.

Collaborate with data, platform, and full‑stack teams; drive adoption of modern AI infrastructure, embedding pipelines, and guardrails to ensure reliability,

Qualifications

• Experience architecting production-grade ML platforms and distributed backends.
• Strong ML lifecycle knowledge (feature stores, training pipelines, model monitoring) and Generative AI patterns.

Responsibilities

• Architect and evolve a scalable multi-tenant AI/ML platform.
• Design robust AI agents and LLM orchestration.
• Build high-throughput, low-latency backends and data pipelines.
• Lead design reviews and ensure security and reliability.
• Advise on tooling, embedding pipelines, and guardrails.

Skills

Senior/Lead ML Engineer

Python

React/TypeScript (familiar)

ML platform design

CI/CD

Education

M.S./Ph.D. in CS/Stats/Math

Tools

Docker

Kubernetes

Terraform

BigQuery

Postgres

Airflow

Job description

Cloudflare is seeking a visionary Lead Machine Learning Engineer in Austin, TX to architect and build the next generation of our unified AI/ML platform. You will own the end-to-end strategy, from requirements to global deployment, delivering scalable, multi-tenant backends and robust data pipelines powering AI-driven applications.

Collaborate with data, platform, and full‑stack teams; drive adoption of modern AI infrastructure, embedding pipelines, and guardrails to ensure reliability,