Dolby Careers Senior AI Researcher

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 Senior AI Researcher to join the Multimodal Experiences Lab within Dolby’s Advanced Technology Group. Our team invents next-generation technologies that power immersive audio-visual experiences, combining machine learning with decades of leadership in perceptual signal processing.
In this role, you will develop multimodal AI systems that enhance how content is created, delivered, and experienced - bridging research innovation with real-world deployment across Dolby technologies.

What You Will Accomplish
• Design and develop novel multimodal AI models for immersive audio-visual content creation, enhancement, and rendering
• Integrate deep learning approaches with perceptually grounded signal processing and quality metrics
• Build prototypes and evaluate systems using both objective and perceptual criteria
• Collaborate with cross-functional teams to transition research into production-
ready technologies
• Contribute to Dolby’s innovation pipeline through publications, patents, and technology transfer

What you need to succeed
• Solid foundation in machine learning and AI, with the ability to develop new
algorithms
• Deep expertise and interest in perceptual media (vision, multimodal, and human perception)
• Curiosity and adaptability in exploring emerging technologies
• Strong collaboration and communication skills across research and engineering teams

What You Bring (Required)

What You Bring (Desired)
• Experience with perceptual video quality metrics
• Experience working on real-time or production-scale media systems
• Experience with GPU/CPU architectures, including embedded systems, and SoC
platforms for ML/AI deployment.

Learn more about our innovative research: https://www.dolby.com/about/innovation/empowering/

The Atlanta Area base salary range for this full-time position is $140,000-$170,000, 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.