Senior Researcher, Sight Research at Dolby Laboratories, Inc.

Atlanta, Georgia, United States -

Full Time

Start Date

Immediate

Expiry Date

05 Apr, 26

Salary

168200.0

Posted On

05 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Generative AI, Computer Vision, Deep Learning, Neural Network Architectures, Image Processing, Video Processing, Matlab, C/C++, OpenCV, Python, TensorFlow, PyTorch, Algorithms, Data Science, AI Technologies, 3D Scene Representation

Industry

Computers and Electronics Manufacturing

Description

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. We are seeking a talented Researcher to join our Advanced Technology Sight Research Lab. You will bring your experience in generative AI on computer vision tasks and deep learning technology to Dolby. As a prerequisite for your work, you have proven knowledge of the generative network (VAE, GAN, diffusion model), low-level/high-level computer visions, 2D/3D scene representation and reconstruction, and deep learning. Your solid understanding of trade-offs between computational complexity and achieved performance of different implementations will guide you in decisions. You will: Research and develop new neural network architectures, training methods, representation, and processing algorithms on the areas of modern computer vision. Have an in-depth understanding of the key processes in computer vision. You have extensive experience in developing architectures, VAE/GAN/diffusion-based network, multi-modal generative network, image/video generative restoration/enhancement, 3D novel view synthesis, and deep learning solution to improve performance of computer vision tasks. Join a highly skilled and motivated team to research and develop advanced computer vision and processing technologies to improve end user experience. What will you accomplish: Build cutting-edge technology in the areas of Computer Vision, AI and Deep Learning . Develop new neural network architectures, training methods, representation, and processing algorithms 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. Skills, Education, and Experience Required Ph.D. degree in electrical engineering, computer engineering, or computer science. Minimum of 2 years of experience in developing algorithms for generative neural network, multi-modal tasks, generative 2D/3D computer vision tasks. You are familiar with computer graphics, video processing systems, as well as corresponding software in consumer and professional products. Solid background in the latest AI technologies and their applications to image research. Proficient in Matlab, C/C++, OpenCV, and Python (TensorFlow/PyTorch) programming applied to computer vision is required. Self-motivated, quick learner and business partner with ability to work with minimal supervision. Excellent written and verbal communication skills. (It is highly desirable to have one or more of the following): Experience in filing patents of newly developed technologies. Hands-on experience in applying Generative Network, 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 field of video encoding and processing. The Atlanta Area base salary range for this full-time position is $140,700- $168,200, 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.

Responsibilities

Research and develop new neural network architectures and algorithms in modern computer vision. Collaborate with a skilled team to enhance end user experience through advanced technologies.