The Machine Learning Engineer Intern will build and operate AI-driven application pipelines, working with Data Scientists and Engineers to support cloud-based ML solutions.
Available Locations: Austin, Texas, US
Internship Dates: June 8 - August 28 or 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
Examples of desirable skills, knowledge and experience
Bonus Points
Internship Dates: June 8 - August 28 or 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 San Francisco, California, USA Office
101 Townsend St, San Francisco, CA, United States, 94107
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