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.

As a Researcher you will bring your experience in computer vision and deep learning technology to Dolby. As a prerequisite for your work, you have proven knowledge of multi-view geometry, object recognition and detection, 3D scene representation and rendering, and signal/image/video processing, and deep learning. Your solid understanding of trade-offs between computational complexity and achieved performance of different implementations will guide you in your decisions. You will research and develop new neural network architectures, training methods, representation, and processing algorithms on the areas of modern computer vision.

You must have an in-depth understanding of the key processes in computer vision. You have extensive experience in developing architectures, low-level/mid-level/high-level computer vision tasks, and processing algorithms with deep learning to improve the performance of computer vision tasks. You will join a highly skilled and motivated team to research and develop advanced computer vision and processing technologies to improve end-user experience.

What you'll do:

• Works with a general understanding of competitive technologies in the area of focus.
• 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.
• Document and present the new architectures and algorithms in various forms, such as technical white papers and internal meeting
• Maintain the highest technical and moral integrity for Dolby in the workplace and marketplace.

What you'll need:

• Ph.D. degree in Electrical Engineering, Computer Engineering, or Computer Science
• Experience in developing algorithms for machine learning and deep learning, computer vision, 3D scene representation and view synthesis.
• Intimately familiar with computer graphics, video processing systems, as well as corresponding software in consumer and professional products.
• Proficiency in Matlab, C/C++, OpenCV, and Python (Tensorflow/Pytorch) programming applied to computer vision is required.
• Self-motivated, quick learner, and strong team player with the ability to work with minimal supervision.
• Excellent written and verbal communication skills.

Desirable:

• Experience in filing patents of newly developed technologies.
• Hands-on experience in applying Computer Vision and Machine Learning algorithms to real-world problems
• Proven track record of successful research accomplishments, published papers, and/or patent applications in the computer vision, and computer graphics fields of research

The Atlanta Area base salary range for this full-time position is $118,700-$163,300, 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.