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Video Codec Algorithm Intern for Realtime Codec Optimizations (Multimedia Streaming) - 2024 Summer (PhD)

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ByteDance

Mar 18

Applications are closed

  • Internship
    Full-time
    Summer Internship
  • Software Engineering
  • Seattle

Requirements

  • Ph.D. 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

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

Technology
Industry
10,001+
Employees
2012
Founded Year

Mission & Purpose

ByteDance is a global incubator of platforms at the cutting edge of commerce, content, entertainment and enterprise services - over 2.5bn people interact with ByteDance products including TikTok. Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. We are committed to building a safe, healthy and positive online environment for all our users.