Sr 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.

At Dolby Laboratories, we investigate perceptual aspects of the human visual system and turn what we learn into technologies and products for improving perceived video/image quality. Understanding the relationship between science, art, and engineering is fundamental to doing this well. We are looking for a motivated and energetic researcher to join our team.

We are specifically looking for a talented and inventive individual to research aspects of the human visual system and design image processing algorithms that produce spectacular experiences. You will conduct research related to color appearance and human perception, design and participate in user studies, and invent, prototype, implement and evaluate novel image processing algorithms.

Responsibilities

• Research state-of-the-art computer vision and machine learning algorithms and prior art in the field of human perception and color science
• Create demos and run experiments to quantify and/or validate algorithm design and human perception attributes
• Invent, design, and develop computer vision and machine learning algorithms
• Write software that is efficient, modular, bug free, understandable to others and well documented
• Document and present findings in a cohesive manner including both internal and external publication platforms

Qualifications

• A Master’s or PhD degree in Imaging or Color Science, Electrical Engineering, Computer Science or a related field
• Ability to prototype quickly, with adept critical thinking skills
• Experience designing unique computer vision and machine learning algorithms
• Understanding of color science and human perception
• Proven track record of journal publications is a plus
• Excellent communication skills and a team-oriented work ethic

The Atlanta Area base salary range for this full-time position is $133,500-$163,000, which can vary if outside this location, plus bonus, benefits,profit sharing and equity compensation.. 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.