Student Researcher; Video Quality Analysis&Coding Strategy PhD

Position: Student Researcher(Video Quality Analysis&Coding Strategy) - 2026 Start (PhD)
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 us for an internship in 2026. PhD Internships at Byte Dance 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. Internships at Byte Dance aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths.

A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. It runs for 12 weeks. PhD internships at Byte Dance 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 - Design video analysis (ROI/SOD, content understanding, temporal grounding etc.) and quality assessment algorithms, and participate in database creation, algorithm design/development/optimization, etc.

- Participate in designing 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.

Minimum Qualifications:

- Currently pursuing a PhD in computer science/electrical engineering or a related technical discipline - In-depth knowledge of video analysis algorithms or subjective/objective video quality algorithms, and state-of-the-art technologies - Proficient in one of the following: C, C++, Python

Preferred Qualifications - Familiar with ML and image processing tools, including sklearn, opencv, ffmpeg, etc - Familiar with deep learning frameworks (Tensorflow/Pytorch) - Familiar with Transformer architectures and mainstream multi-modal large models (MLLMs), and hands-on implementation or research experience preferred.

- Familiar with Linux development environments, shell scripting, HDFS etc - Knowledge of common video processing algorithms, such as supper resolution, defusion model, etc.

- Great communication, eager to learn, and always passionate about turning cutting-edge technologies into real life use cases. By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: