Sr Researcher, Neural Video Processing
Dolby
- Sunnyvale, CA
- $145,000-177,000 per year
- Permanent
- Full-time
- 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.
- 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.
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.