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What it is

  • You'll build and test AI agents that automate multi-step engineering and product workflows for a TV streaming platform.
  • You'll own a scoped project, connecting agents to trusted data/tools and measuring reliability and failure modes.

Who it's for

  • Penultimate-year students, or final-year students who will go on to a one-year master’s.
  • Currently studying Artificial Intelligence, Computer Science, Engineering or a related degree.
  • Strong Python plus hands-on experience building an LLM/agentic system (ideally used by others), and solid CS fundamentals (data structures/algorithms, OS or networking).

This overview was generated using AI

Who you are

  • You are a penultimate-year student, or a final-year student planning to go on to a one-year master’s course
  • You hold a permanent right to work in the UK. Unfortunately, we are unable to consider candidates on a student visa
  • You are available for full-time work for the whole 12-week program, from June to early September in Cambridge
  • You are keen to work with AI technologies and have previous experience building AI agents and automated workflows
  • Currently enrolled in a degree program in Artificial Intelligence, Computer Science, Engineering or a related field
  • Proficiency in Python, ideally with projects, open source or hackathon work beyond your coursework
  • Hands-on experience building an LLM-powered or agentic system that does multi-step work, and ideally that someone other than you has used
  • Familiarity with agentic patterns such as grounding and retrieval, tool use, orchestration, memory or conversational interfaces
  • Sound engineering judgment: you check AI-generated work, understand how it can fail, and recognise when simple automation or a human review is the better approach
  • A solid grounding in computer science fundamentals such as data structures, algorithms, and operating systems or networking concepts
  • Strong problem-solving and technical communication abilities, and the ability to break down ambiguous problems and deliver in small steps
  • Proactive mindset with passion for continuous learning and fast iteration

What the job involves

  • Join Roku as an Engineering Intern and help build the agentic AI powering America’s #1 TV streaming platform. Roku reaches more than 100 million households worldwide, and we’re building production-grade AI agents across the products and platforms that serve them. We offer a paid 12-week internship, running from June to early September 2027
  • As an Engineering Intern, you’ll be assigned a scoped project with one of our engineering teams and matched to the team that best fits your skills and interests. You’ll work on real problems, such as agents that investigate failures, automate workflows, review or generate code, or help people make complex decisions. You’ll learn how to take an AI-powered idea from prototype to something people actually use, with a mentor alongside you and real ownership from day one
  • Our teams work across a variety of languages and technologies, from user interfaces and embedded software to platform services, automation and developer tooling, and embrace AI-assisted development to boost productivity and quality
  • Own a well-defined project that contributes to the success of your team, from defining the problem through to delivery
  • Build and test AI agents, copilots and automated workflows that perform meaningful, multi-step work
  • Connect agents to trusted data, services and internal tools, using approaches such as retrieval, tool calling and orchestration, and help define what an agent may do on its own and when it should hand over to a person
  • Evaluate your work: measure whether it does the job well, check its reliability and failure modes, and keep improving it based on real feedback
  • Use AI coding tools every day to move faster, and validate everything they produce through testing, review and your own judgment
  • Write clean, well-tested, documented code, take part in code reviews, and collaborate with engineers, mentors and cross-functional partners

Benefits

  • Medical, wellness and financial benefits
  • Free snacks and access to the company fitness center
  • Unlimited paid time off policy
  • Work from home opportunities