Research Scientist - Intern (Video and Edge, Multimedia Lab) - 2027 Start

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.

We are looking for talented individuals to join us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth. Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals.

Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted. Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates.

• Design, develop, and optimize innovative algorithms for data compression, processing, and large multimodal model applications, including but not limited to 2D video, multiview video, point clouds, Gaussian splatting–based or NN-based coding, token compression, and KV cache optimization.
• Stay up to date with state-of-the-art techniques through standardization activities or leading conference/journal publications.
• Build prototypes and demonstrations, and contribute to technical reports, publications, and patent filings.

• Currently pursuing a Master's degree in computer science/electrical engineering/mathematics/statistics/data science and related disciplines
• Strong Computer Science fundamentals (algorithms, data structures, software design) and problem-solving skills
• Familiar with token/image/video coding and processing or large multimodal models
• Familiar with Python, PyTorch
• Familiar with C/C++
• Collaborative mindset, with solid written and verbal communication skill

• Good understanding of state-of-art compression algorithms
• Rich experience and interest in video/image coding standards (e.g., H.263/264/265/266, MPEG-2/4, JPEG, JPEG 2000, AV1, AV2, AVS1/2/3, etc.)
• Proficient in deep learning frameworks such as PyTorch, TensorFlow, and YOLO.
• Hands-on experience with large language models (LLMs) and vision-language models (VLMs), including LoRA, diffusion models, and VQA tasks.
• Experience with model training, fine-tuning, and evaluation pipelines.
• Familiar with GPU acceleration and CUDA environment configuration.

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.