Principal Software Engineer

Disney Disney · Media · San Francisco, CA +2

Research and development role focused on future generation image and video coding using ML/AI methods. Involves advanced computer vision, applied ML/AI for media enhancement, understanding, analysis, and compression. Will represent Disney at standards bodies and conduct multidisciplinary research in video technologies, aiming for IP generation and technical leadership.

What you'd actually do

  1. You will be focused on research and development for future generation image and video coding especially through the application of ML/AI methods.
  2. You will participate and represent Disney at AOM and connect with academic research groups, conferences and other standard bodies such as MPEG, IETF, and VQEG.
  3. You will be part of a team conducting innovative research and advanced development involving advanced computer vision algorithms and applied ML/AI techniques to address the tasks such as media enhancement, understanding, analysis, compression, and enhancing storytelling through innovative media experiences.
  4. You will have the opportunity to conduct multidisciplinary research and implementation in video technologies, including video processing, encoding and E2E video streaming for both live and on-demand use cases.
  5. You will have the opportunity to design video algorithms and software workflows for the purposes of achieving velocity, scale, and efficiency to further optimize our media platform.

Skills

Required

  • Minimum of 10 years of experience in related field
  • Deep expertise in video coding standards such as AV1, AV2, AVC, HEVC, VVC
  • Strong algorithm background for both traditional block based and emerging neural network based video coding tools
  • A strong background in applying deep learning techniques to video processing tasks such as video enhancement, video understanding, video coding and analysis.
  • A proven track record of IP generation
  • In-depth understanding and experience with multimedia stack (e.g. video formats, encoders/decoders, video playback/players), multimedia frameworks, and video coding/processing methods.
  • A proven track record of success and demonstrable experience in research or advanced development in video coding / media processing or adjacent fields (video quality, computer vision, computer graphics)

Nice to have

  • Knowledge and experience with C/C++ and Python
  • Extensive experience in deploying and optimizing AI/ML models and frameworks, including state-of-the-art latent variable generative models and optimization for finite precision operations, is strongly preferred
  • Applied knowledge of Media Metadata and Processing
  • Applied knowledge of ABR algorithms and transport formats
  • Knowledge of gStreamer Media Framework
  • Experience with building web-apps/dashboards for data visualization
  • Experience with working with Dockers
  • Web service development, REST APIs, XML/JSON
  • Release management, CD/CI tools, Git/GitHub
  • High load, highly scalable and distributed applications

What the JD emphasized

  • Deep expertise in video coding standards such as AV1, AV2, AVC, HEVC, VVC
  • Strong algorithm background for both traditional block based and emerging neural network based video coding tools
  • A strong background in applying deep learning techniques to video processing tasks such as video enhancement, video understanding, video coding and analysis.
  • A proven track record of IP generation
  • In-depth understanding and experience with multimedia stack (e.g. video formats, encoders/decoders, video playback/players), multimedia frameworks, and video coding/processing methods.
  • A proven track record of success and demonstrable experience in research or advanced development in video coding / media processing or adjacent fields (video quality, computer vision, computer graphics)

Other signals

  • ML/AI methods for video coding
  • advanced computer vision algorithms
  • applied ML/AI techniques to media enhancement, understanding, analysis, compression
  • multidisciplinary research and implementation in video technologies
  • IP generation