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About the Role

The Core Media Technology (CMT) team is seeking a Principal Engineer to focus on research and development for future generation image and video coding, particularly through the application of ML/AI methods. This role involves representing Disney at industry standards bodies and collaborating with research groups to drive innovation in video processing, compression, and media experiences.

Responsibilities

• Conduct research and development for future generation image and video coding using ML/AI methods.
• Participate in and represent Disney at AOM, MPEG, IETF, and VQEG standards bodies.
• Connect with academic research groups and conferences.
• Conduct innovative research and advanced development in advanced computer vision algorithms and applied ML/AI techniques.
• Address tasks such as media enhancement, understanding, analysis, and compression.
• Enhance storytelling through innovative media experiences.
• Conduct multidisciplinary research and implementation in video technologies, including video processing, encoding, and E2E video streaming for live and on-demand use cases.
• Design video algorithms and software workflows for velocity, scale, and efficiency optimization.
• Act as a thought leader and technical domain expert within and beyond the organization.
• Drive architectural innovation and significant IP generation internally and at the standards level.
• Influence strategy and represent the organization in technical discussions.
• Shape long-term strategy and product development with critical contributions to initiatives and innovation.
• Regularly work with senior leaders to drive major technical advancements.
• Coordinate and collaborate with global CMT team resources.

Requirements

• Minimum of 10 years of experience in a 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.
• Strong background in applying deep learning techniques to video processing tasks.
• Proven track record of IP generation.
• In-depth understanding and experience with multimedia stack, frameworks, and video coding/processing methods.
• Proven track record of success and demonstrable experience in research or advanced development in video coding / media processing or adjacent fields.
• Knowledge and experience with C/C++ and Python.
• Extensive experience in deploying and optimizing AI/ML models and frameworks.
• 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.
• Experience with high load, highly scalable and distributed applications.
• Degree in Electrical Engineering, Computer Engineering, Computer Science, or related field with 10+ years of directly related industry experience in video codecs.

Skills

• Video coding standards (AV1, AV2, AVC, HEVC, VVC)
• Deep learning techniques for video processing
• Video enhancement
• Video understanding
• Video coding
• Video analysis
• Computer vision algorithms
• Multimedia stack
• Video formats
• Encoders/decoders
• Video playback/players
• Multimedia frameworks
• Video processing methods
• Video quality
• Computer graphics
• C/C++
• Python
• AI/ML models and frameworks
• Latent variable generative models
• Optimization for finite precision operations
• Media Metadata and Processing
• ABR algorithms
• Transport formats
• gStreamer Media Framework
• Web-app development
• Dashboard development
• Data visualization
• Dockers
• Web service development
• REST APIs
• XML/JSON
• Release management
• CD/CI tools
• Git/GitHub
• High load applications
• Highly scalable applications
• Distributed applications

Location

• San Francisco, CA, USA
• USA - NC - 3005 Carrington Mill Blvd

Work Type

• Full time

Experience Level

• Principal Engineer
• 10+ years of experience

Education Level

• Degree in Electrical Engineering, Computer Engineering, Computer Science, or related field

Salary/Compensations

• San Francisco, CA: $206,400 - $276,700 per year
• Morrisville, NC: $175,500 - $235,400 per year

Benefits

• A bonus and/or long-term incentive units may be provided
• Full range of medical, financial, and/or other benefits

About the Company

• Technology is at the heart of Disney’s past, present, and future.
• Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more.
• The team builds and advances the technological backbone for Disney’s media business globally.
• The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses.
• Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come.
• Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories.
• We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems.
• The Core Media Technology (CMT) team is part of DEEP&T’s Media Engineering organization.
• CMT is one of our Research and Advanced Development teams focusing on video and audio processing.
• CMT drives innovative enhancements into our video processing platform for live and on-demand video streaming delivery.
• CMT's work involves optimizing media processing, introducing new media codecs, developing quality and performance assessment frameworks, and conducting innovative media R&D.
• CMT aims for velocity, scale, and efficiency through an optimized media platform and redefining storytelling through innovative media experiences.
• The CMT team is global, with resources from Zurich, Bangalore, throughout the US and in Beijing.