ByteDance

Responsibilities

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 2025. Internships at ByteDance aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at ByteDance.

Internships at ByteDance 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. This Internship Program runs for 12 weeks beginning in May/June 2025. Successful candidates must be able to commit to one of the following summer internship cycles below:

Monday, May 12

Monday, May 19

Tuesday May 27 (Memorial Day May 26)

Monday, June 9

Monday, June 23

We will prioritize candidates who are able to commit to these start dates. Please state your availability clearly in your resume (Start date, End date).

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities:

• Optimize image and video codecs for 2D/3D video, Multiview video, 360-degree video, point cloud, light filed, et al.
• Design and develop encoding optimization algorithms for various usecases
• Research and develop visual quality-oriented video coding and processing algorithms

Qualifications

Minimum Qualifications:

• PhD student in computer science/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