Low Latency Video Codec Algorithm Intern

About Team Our AVG Team’s mission is to promote cutting-edge research in multimedia (including, but not limited to image/video data processing, compression and transmission), and to transfer technologies into our products for better serving our hundreds of millions of users. We are looking for exceptional individuals from all area of multimedia processing/compression/transmission, who have a track record of research excellence, a passion to shape the future of multimedia processing, and the potential to become an outstanding leader in the field. We are looking for talented individuals to join us for an internship in 2026. PhD Internships at ByteDance aim to provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. PhD internships at ByteDance provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and development events, and collaboration with industry experts. Applications will be reviewed on a rolling basis - we encourage you to apply early. Please state your availability clearly in your resume (Start date, End date). Responsibilities - Optimize image and video codecs for 2D/3D video, Multiview video, et al. - Design and develop encoding optimization algorithms for various usecases - Research and develop visual quality-oriented video coding and processing algorithms Minimum Qualifications - F- Currently pursuing a PhD in computer science or electrical engineering/mathematics/statistics and related disciplines - Good understanding of state-of-art compression/transmission/processing algorithms - Excellent programming, debugging, and optimization skills in one or more general-purpose programming languages including but not limited to: C/C++ and Python Preferred Qualifications - Experience in development of video coding techniques, both traditional and deep learning approaches - Familiar with one of the video compression standards, e.g., AVS/H.264/H.265/VVC/AV1 and its reference software - Familiar with deep learning frameworks such as TensorFlow, PyTorch etc - Familiar with deep learning model optimization and acceleration