Research Scientist Intern - Multimedia Streaming

About the Team Our lab is dedicated to advancing state-of-the-art research in multimedia, including but not limited to image and video processing, compression, and transmission. We focus on translating cutting-edge research into impactful product technologies that serve hundreds of millions of users worldwide. We are seeking exceptional researchers in multimedia, systems, and networking who demonstrate research excellence, a passion for shaping the future of multimedia systems, and strong potential for technical leadership. We are looking for talented individuals to join us for an internship. PhD internships at Our Company provide students with the opportunity to actively contribute to our products and research, as well as to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and professional development events, and collaboration with industry experts. Applications will be reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume (Start date, End date). Responsibilities: - Conduct research on performance analysis and optimization of large-scale streaming systems, including on-demand streaming, live streaming, and real-time communication. - Explore and prototype novel algorithms, architectures, and system designs for emerging media formats, such as 360-degree video, volumetric video, and light field streaming. - Investigate QoE-related metrics, modeling approaches, and evaluation methodologies for large-scale multimedia delivery systems. - Build research prototypes, run experiments, analyze data, and generate insights to validate technical hypotheses. - Collaborate closely with researchers and engineers to translate research ideas into practical solutions and potential product innovations. - Contribute to technical reports, academic publications, patent filings, and internal research documentation. Minimum Qualifications - Currently pursuing a PhD in Computer Science, Electrical Engineering, or a related field. - Strong fundamentals in algorithms, data structures, computer systems, networking, and software development. - Demonstrated research ability through publications, submitted manuscripts, or substantial project experience in relevant areas. - Strong problem-solving, experimentation, and analytical skills. - Effective communication skills and ability to work collaboratively in a research-driven environment. Preferred Qualifications - Research experience in multimedia systems, video streaming, networking, distributed systems, or related domains. - Familiarity with CDN systems, content delivery optimization, adaptive streaming, or low-latency media transport. - Experience with transport protocols, congestion control, or real-time communication systems. - Experience applying machine learning or reinforcement learning to multimedia or networked systems. - Interest in next-generation streaming applications, such as cloud gaming, cloud XR, immersive media, or interactive streaming.