AI Resume Builder
JOIN NOW Post Job
Cloudflare
AI

Machine Learning Engineer Intern (Summer 2026)

Cloudflare · In-Office

Actively hiring Posted about 20 hours ago
Sign up to apply

Role overview

We are looking for a Machine Learning Engineer Intern to join our Austin team to build and operate the pipelines behind AI-driven applications, Agents, Chatbots that power teams across the company, including go-to-market, engineering, and product. As an intern, you’ll work alongside experienced data scientists and machine learning engineers to tackle real-world challenges in AI development.

Responsibilities

  • Deploy, monitor & support ML Applications & Services on Kubernetes in cloud.
  • Understand MLOps landscape i.e tooling, tech stack, source systems etc. and work on  new tools and solutions for ML & AI initiatives.
  • Partner and align with Data Scientists, Data Engineers and internal teams to deliver ML solutions in a globally distributed environment.
  • Leverage Cloudflare products and services for AI & ML initiatives and applications.
  • Use software engineering best practices to publish model scores/insights/learnings at scale within the company.
  • B.S. or M.S in Computer Science, Statistics, Mathematics, or other quantitative fields
  • Experience working with programming languages such as Python, Go or Javascript.
  • Strong software engineering mindset, proficiency in shell scripts, CLI utilities, and version control with git.
  • Knowledge of AI agents, inference-time optimization, LLM evaluations.
  • Excellent communication & problem solving skills.
  • Ability to collaborate with cross functional teams and work through ambiguous business requirements.
  • Ability to commit to a 12 week summer internship.
  • In office 3-5 days a week in Austin, TX.
  • Familiarity with container based deployments such as Docker & Kubernetes in cloud.
  • Experience with AI-assisted coding, building with cloudflare developer platform.

About the company

The Data Intelligence & Analytics team at Cloudflare is responsible for building a unified data & ML platform that enables our internal Business Partners and Product teams with actionable analytics, insights and recommendations. Our goal is to democratize data & intelligence, support Cloudflare’s critical business needs, and provide self-service data & AI applications to fuel existing and new business critical initiatives.

Tags & focus areas

Used for matching and alerts on DevFound
Machine Learning Ai

Next step

Ready to Join the Team?

Apply once with DevFound. We'll route your profile to Cloudflare and keep you informed when matching AI roles go live.

  • Single profile, multiple curated AI opportunities
  • No spam roles — only vetted AI positions
  • You choose which roles to apply to
Sign up to apply

No CV uploads. We never share your profile without your consent.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.

Still have questions?

Contact Support