Internship Dates: June 22 - September 11
About the team
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.
About the role
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.
What you'll do
- 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.
Examples of desirable skills, knowledge and experience
- 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.
Bonus Points
- Familiarity with container based deployments such as Docker & Kubernetes in cloud.
- Experience with AI-assisted coding, building with cloudflare developer platform.
Cloudflare Compensation & Benefits Highlights
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Parental & Family Support — The program offers generous paid parental leave and family-forming support, with childcare resources and a structured return-to-work program highlighted. Availability is described as global with alignment to local market practice.
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Leave & Time Off Breadth — Time off is described as take-what-you-need (unlimited) vacation that encourages flexibility. Flexibility extends to how and where work is done, supporting practical use of time away.
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Equity Value & Accessibility — Every employee is positioned as an owner through stock grants, complemented by an employee stock purchase opportunity. An AI tools stipend is noted as an additional value-add alongside pay.
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What We Do
Cloudflare, Inc. (NYSE: NET) is the leading connectivity cloud company on a mission to help build a better Internet. It empowers organizations to make their employees, applications and networks faster and more secure everywhere, while reducing complexity and cost. Cloudflare’s connectivity cloud delivers the most full-featured, unified platform of cloud-native products and developer tools, so any organization can gain the control they need to work, develop, and accelerate their business. Powered by one of the world’s largest and most interconnected networks, Cloudflare blocks billions of threats online for its customers every day. It is trusted by millions of organizations – from the largest brands to entrepreneurs and small businesses to nonprofits, humanitarian groups, and governments across the globe.
Why Work With Us
Cloudflare employees come from all walks of life. We are mission-driven, and our team is energized by a collaborative, creative environment that celebrates our differences and fosters new ways to grow together.
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Employees engage in a combination of remote and on-site work.
We are committed to developing a global team that is distributed with a flexible working approach. Doing this equitably and inclusively is essential to our success. Visit our careers site for more on 'How & Where We Work.'
