Senior Researcher - Sight Lab

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 must have strong knowledge of principles, algorithms, and techniques in video and image processing and compression, as well as machine learning technology. You should have excellent software design, problem solving, and debugging skills. 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.

• Works with a general understanding of competitive technologies in video compression.
• Works with a general understanding of competitive technologies in machine learning.
• Works to understand the system context in which new technologies will be used and the requirements that the technology must fulfill for success.
• Creates early-stage conceptual models that demonstrate feasibility.
• Develops and presents new algorithms and implementations in various forms, including patent applications, conference and journal publications, presentations, and technical white papers at various venues
• Maintain the highest technical and moral integrity for Dolby in the workplace and marketplace.

• Ph.D. degree in electrical engineering, computer engineering, or computer science, or related engineering disciplines required.
• Minimum of 3 years of 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 Tensor Flow) 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…