Sr Researcher - Sight Lab

DolbyAtlanta, GA
1d$137,600 - $168,000

About The Position

Join the leader in entertainment innovation and help us design the future. At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby team, you’ll see and hear the results of your work everywhere, from movie theaters to smartphones. We continue to revolutionize how people create, deliver, and enjoy entertainment worldwide. To do that, we need the absolute best talent. We’re big enough to give you all the resources you need, and small enough so you can make a real difference and earn recognition for your work. We offer a collegial culture, challenging projects, and excellent compensation and benefits, not to mention a Flex Work approach that is truly flexible to support where, when, and how you do your best work. The Advanced Technology Group (ATG) is the research division of the company. ATG’s mission is to look ahead, deliver insights, and innovate technological solutions that will fuel Dolby’s continued growth. Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT. You will bring your experience in video coding and processing technology development to Dolby’s video codec R&D team. You will research and develop cutting edge technologies at the intersections between machine learning and video compression and processing. As a prerequisite for your work, you must have a working knowledge of video coding standards (AVC, HEVC, VVC, etc.) and additional expert knowledge of machine learning in the context of image and video processing. Your solid understanding of trade-offs between computational complexity and picture quality will guide you in decisions. You will research and develop new algorithms to improve video coding systems, develop proof-of-concept prototypes, and evaluate end-to-end system performance. You will join a highly skilled and motivated team to research and develop advanced video processing technologies to improve the quality, efficiency, and capabilities of video coding.

Requirements

  • Ph.D. degree in electrical engineering, computer engineering, or computer science, or related engineering disciplines required.
  • Experience in developing algorithms for video coding and/or machine learning systems. Experience in developing algorithms for 3D graphics video compression or learning-based 3D visual computing is a plus.
  • Solid research background in video or image coding and processing.
  • In-depth knowledge in development, training, testing, and computing platforms for deep learning (DL) and statistical machine learning (ML).
  • Solid programming experience in python/C/C++ applied to image/video coding/processing and experience with one or more deep learning frameworks (e.g., PyTorch and TensorFlow) is required.
  • Track record of successful research accomplishments, published papers in top-tier conferences (DCC, ICIP, ICASSP, CVPR, ICCV, ECCV, etc.) or journals (TCSVT, TIP, TPAMI, etc.) and/or patent applications in the field of video coding and processing.
  • You balance strong collaboration skills with the ability to work independently

Responsibilities

  • Maintain a broad understanding of competitive technologies in:
  • Stereoscopic 3D
  • Video Compression
  • Machine Learning
  • Analyze the system context in which new technologies will be deployed and identify the requirements necessary for successful integration.
  • Develop early-stage conceptual models to demonstrate technical feasibility.
  • Design and present innovative algorithms and implementations through various channels, including:
  • Patent applications
  • Conference and journal publications
  • Technical presentations
  • White papers
  • Uphold the highest standards of technical excellence and ethical integrity, representing Dolby positively in both the workplace and the marketplace.

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

Ph.D. or professional degree

Number of Employees

1,001-5,000 employees

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