Research Scientist" - Graduate (Video and Edge, Multimedia Lab) - 2027 Start (PhD)

The Multimedia Lab builds highly efficient, scalable video codec hardware solutions (FPGA and ASIC) from the ground up, serving billions of users. We bring together algorithm, architecture, software, firmware, and hardware design and verification expertise, designing high-performance video silicon IP across ASIC and SoC digital design, verification, and next-generation video codec hardware. Alongside the silicon work, we advance research in video understanding, perceptual quality assessment, image and video enhancement, and intelligent coding, including using multimodal models to improve coding decisions. Quality, efficiency, and speed rarely improve together. Sharper images and better perceived quality usually cost bitrate, compute, or latency, and a technique that works in research does not always survive production at global scale. You will take ideas from research through to silicon and production systems, where research decisions show up in the cost and quality of video across ByteDance's products. About the team Our team designs and optimizes the next-generation end-to-end video system (for video production, processing, delivery, and consumption) to improve the quality of experience (QoE) for our billions of users. We are looking for strong video algorithm engineers from all areas of video understanding, video processing, video coding, video streaming, and video quality assessment, etc., who have a dedication to technical excellence and a passion to build large-scale and high-performing video platforms and services. We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume. Responsibilities - Design strategy and solution for E2E video quality optimization with a combination of video analysis, processing and encoding algorithms. - Apply designed algorithms for VOD / Live streaming monitoring, data analysis, objective evaluation for algorithms, etc. - Collaborate with X-functional teams to integrate algorithms into production workflows and validate their impact through A/B testing.

Qualifications

Minimum Qualification(s): - Individuals who are completing or have recently completed a PhD degree in Computer Science, Engineering, or a related discipline. - In-depth knowledge of video enhancement/compression algorithms or subjective/objective video quality, algorithms, and state-of-the-art technologies. - Proficient in one of the following: C, C , Python. Preferred Qualification(s): - Familiar with ML and image processing tools, including sklearn, OpenCV, FFmpeg, etc. - Familiar with deep learning frameworks (TensorFlow/PyTorch). - Familiar with mainstream multi-modal large models (MLLMs) and AI agent technologies, and hands-on implementation or research experience preferred. - Familiar with Linux development environments, shell scripting, HDFS, etc. - Great communication, eager to learn, and always passionate about turning cutting-edge technologies into real-life use cases.