Research Engineer Intern (fall 2026)

Cloudflare Cloudflare · Enterprise · Lisbon, Portugal · Technology Research

Cloudflare's Research Team is looking for Research Engineer Interns to work on strategic projects impacting Cloudflare systems and the Internet. The role involves engineering, data analysis, and open-source development, with a focus on AI/ML for systems and network optimization, security, privacy, and distributed systems. Interns will be matched to ongoing research directions and are expected to contribute to maintaining the integrity of Internet systems and applications.

What you'd actually do

  1. AI
  2. Distributed Systems
  3. Privacy
  4. Trusted Execution Environments

Skills

Required

  • Evidence of tackling hard or open-ended problems
  • Proven track record of peer-reviewed research, open-source software contributions, or standards development
  • Experience clearly communicating research ideas through papers, pre-prints, standards documents, blogs, or similar media
  • Ability to work in a systems-level programming language (e.g. Rust, C, Go)
  • Passion for debugging and ensuring system reliability
  • Familiarity with continuous integration workflows and source control systems (e.g., Gitlab, Github)
  • Willing and eager to share knowledge, with the skills to do so
  • Computer networking protocols (TCP/IP, DNS, BGP, QUIC, etc.) and related algorithms
  • Machine learning analysis, ideally in systems or network optimization
  • Authentication protocols, applied cryptography, PKI and SSL/TLS
  • Operating or distributed systems analysis or development
  • Measurement for network and computer systems
  • Proficiency in a scripting language, such as Python

Nice to have

  • Proven track record of independently driving projects in a fast-paced environment
  • Experience working in groups, or with multiple stakeholders
  • Able to fluently work across multiple programming languages

What the JD emphasized

  • AI-native curiosity
  • AI will impact all layers of a globally distributed system and the wider Internet
  • Machine learning analysis, ideally in systems or network optimization

Other signals

  • AI/ML for systems and network optimization
  • research contributions in-house and with academia
  • exploring open problems at the boundaries of knowledge