Machine Learning Engineer Intern (Summer 2026)

Cloudflare•Austin, TX

3d•Onsite

About The Position

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.

Requirements

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.

Nice To Haves

Familiarity with container based deployments such as Docker & Kubernetes in cloud.
Experience with AI-assisted coding, building with cloudflare developer platform.

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.