Sr Researcher, Neural Video Processing

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.

Job Summary

You will bring your experience in neural video compression and processing technology development to Dolby’s video codec R&D team. You will research and develop cutting edge technologies at the intersections between deep learning and video compression and processing. As a prerequisite for your work, you have expert knowledge of deep learning in the context of image and video processing. Additional expert knowledge of video coding standards (AVC, HEVC, VVC, etc.) is a plus. 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 expert knowledge of the principles, algorithms, and techniques in video and image processing, or machine learning, or computer vision 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.

Job Functions

• Works with a general understanding of competitive technologies in deep learning video compression.
• 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.
• Documents and presents new algorithms and implementations in various forms, including standards contributions, patent applications, conference and journal publications, presentations, and technical white papers at various venues (JVET/MPEG meetings, IEEE conferences, etc.).
• May represent company technology interests in industry associations or standards bodies based on guidance from senior technical staff or management.
• Maintain the highest technical and moral integrity for Dolby in the workplace and marketplace.

Skills, Education, and Experience Required

• Master or Ph.D. degree in electrical engineering, computer engineering, or computer science, or related engineering disciplines required.
• Minimum of 3 to 5 years of experience in developing algorithms for deep learning video compression or other machine learning systems.
• In-depth expertise in deep learning (DL) and statistical machine learning (ML).
• Extensive programming experience in Python/C/C++ applied to image/video coding/processing and experience with Pytorch is required.
• Track record of successful research accomplishments, published papers, and/or patent applications in the field of video coding and processing.
• Experience in filing patents of newly developed technologies preferred.
• Prior participation in standardization activities with experience in drafting and defending contributions preferred.
• Excellent written and verbal English communication skills. Strong team player with ability to work independently.
• Available and willing to travel internationally.

The San Francisco/Bay Area base salary range for this full-time position is $145,000 - 177,000, which can vary if outside this location, plus bonus, benefits, and some roles may also include equity. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, competencies, experience, market demands, internal parity, and relevant education or training. Your recruiter can share more about the specific salary range and perks and benefits for your location during the hiring process.

Dolby will consider qualified applicants with criminal histories in a manner consistent with the requirements of San Francisco Police Code, Article 49, and Administrative Code, Article 12

Equal Employment Opportunity:
Dolby is proud to be an equal opportunity employer. Our success depends on the combined skills and talents of all our employees. We are committed to making employment decisions without regard to race, religious creed, color, age, sex, sexual orientation, gender identity, national origin, religion, marital status, family status, medical condition, disability, military service, pregnancy, childbirth and related medical conditions or any other classification protected by federal, state, and local laws and ordinances.