Video Algorithm Engineer PhD Internship – Video System Optimization

Job Description

Student Researcher (Video Quality Analysis & Coding Strategy) | ByteDance

The Tone:
ByteDance’s team designs and optimizes end-to-end video systems for production, processing, delivery, and consumption. This role collaborates with video algorithm engineers to improve the quality of experience for billions of users worldwide. The company seeks to build large-scale and high-performing video platforms and services.

The TL;DR
• Role: Student Researcher (Video Quality Analysis & Coding Strategy)
• Type: Internship
• Mission: Owns the design of video analysis and quality assessment algorithms, and strategies for end-to-end video quality optimization.
• Tech Stack: sklearn, opencv, ffmpeg, Tensorflow, Pytorch, Transformer architectures, MLLMs, Linux, shell scripting, HDFS

What You’ll Actually Do
• Algorithm Design: Design video analysis and quality assessment algorithms, including database creation, development, and optimization.
• Strategy Development: Participate in designing end-to-end video quality optimization strategies with various video algorithms.
• Application & Monitoring: Apply designed algorithms for VOD/Live streaming monitoring, data analysis, and objective evaluation.
• Integration & Validation: Collaborate with cross-functional teams to integrate algorithms and validate their impact via A/B testing.

The Must-Haves
• Background: PhD in computer science, electrical engineering, or a related technical discipline. In-depth knowledge of video analysis or subjective/objective video quality algorithms.
• Experience: Currently pursuing a PhD. Familiarity with ML/image processing tools, deep learning frameworks, and Linux development environments. Hands-on experience with Transformer architectures or MLLMs preferred.
• Skills: Proficient in C, C++, or Python.