At Meta Reality Labs Research, our world-class team of researchers, developers, and designers collaborate to create innovative user experiences with contextual AI. As a Research Intern, you will investigate how people and AI agents interact through various interfaces and develop groundbreaking sensing technologies, interactions, and interfaces for augmented reality glasses and wearable devices. Our mission is to invent user interface technologies that drive the next generation of augmented-reality experiences, unleashing human potential by removing barriers between intent and action. Work with researchers to help enable their work across the following research disciplines: * Human Computer Interaction * Human-AI Interaction Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year. Some projects may require a minimum of 16 consecutive weeks. Currently has, or is in the process of obtaining, a PhD degree in Computer Science, Human-Computer Interaction, Human-AI Interaction, AI/ML, Human-Robot Interaction, or relevant technical field. 3+ years of research experience in HCI, AI or related fields, as shown in prior publications and portfolio. 3+ years of experience with programming languages such as Python, C++, C#, Matlab, Python, Javascript, or similar languages. 1+ years of experience in experimental design of user studies and statistical analysis to interpret results. Interpersonal skills: cross-group collaboration and cross-culture collaboration. Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment. Familiarity with the HCI field and AR/VR technologies and literature. Proven track record of achieving research results and innovation as demonstrated by minimum 2 patents or first-authored peer-reviewed publications in relevant venues such as ACM CHI, ACM UIST, ACM IMWUT, IEEE ISMAR or IEEE VR. Expertise in techniques like circuit design, signal processing, model training, LLMs, Prompt Engineering, and related techniques. Familiarity with machine learning libraries such as PyTorch or TensorFlow and/or development environments like Unity. Experience working and communicating cross functionally in a team environment. Intent to return to degree program after the completion of the internship/co-op. Availability for minimum 16 consecutive week internship.