About the team Roku continues a long-term trajectory of supporting summer internship roles within the organization, to provide applicants with experience of our enthusiasm, expertise and company culture. The Advanced Development, IoT, Content, and Edge AI (ICE-AI) team within the Engineering organization has been granted 5 summer internships in 2025. These internships are only available to postgraduate students who are currently studying for a PhD or have recently successfully completed a PhD. About the role The purpose of the internship is to involve each student in the work of the IoT, Content, and Edge AI team. Each student will be assigned a supervisor among the senior members of the team. This supervision aims to ensure that the intern finishes their contract with a clear view of what permanent employment within the IoT, Content, and Edge AI team would be like. All the intern projects will be clearly defined at the outset, easy to get started and challenging to complete, and relevant to the IoT, Content, and Edge AI (ICE-AI) team’s Q3 and Q4 2025 goals. Project Outlines: Building new experiences for IoT cameras with VLMs Developing multimedia content generation techniques Content understanding and analysis for episodic and cinematic videos Deploying and optimizing AI algorithms to the edge Picture quality ML on embedded devices What you'll be doing Define, agree, and track the meaningful measures (KPIs) of success in the project. Collaborate effectively with other members of the project team to achieve goals. Contribute meaningfully to the implementation and delivery of the project. Identify and communicate key learnings within and across project teams. Actively partner with experts in the project field in Cambridge, and internationally. We’re excited if you have PhD in STEM discipline (current or recent) Strong problem-solving and analytical skills Excellent communication and presentation skills Proficient in data visualization and interpretation High-level proficiency in Python Background in mathematics, statistics, and CS Ability to design and implement machine learning models Familiarity with machine learning frameworks (PyTorch, Tensorflow) Understanding of machine learning and computer vision algorithms and techniques LI-TP1