Senior Multimodal AI Researcher
About The Position
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 Multimodal 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 next-generation multimodal generative AI systems for immersive audio-visual experiences. You will work at the intersection of deep learning, perceptual modeling, and media signal processing, building systems that generate, enhance, and render realistic audio-visual content at scale. This role spans fundamental research through production deployment, with opportunities to publish, patent, and directly influence shipped technologies.
Requirements
- PhD in Computer Science, Electrical Engineering, or related field or equivalent industry research experience
- Research experience in one or more of: multimodal AI, generative AI, computer vision, audio analysis, audiovisual analysis
- Demonstrated research impact through publications and/or patents in top venues (e.g., NeurIPS, ICLR, ICML, CVPR, ICCV) or equivalent industry impact
- Proficiency in Python and/or C/C++, with hands-on prototyping experience building and evaluating ML systems
- Strong cross-functional collaboration skills and the ability to communicate effectively with technical and non-technical partners
- Strong foundation in ML/AI with the ability to develop new algorithms and model architectures
- Interest in perceptual media (audio, vision, and human perception) and curiosity about emerging approaches
- A collaborative, iterative mindset—comfortable working across research and engineering teams
- Clear communication skills: sharing ideas, reasoning about tradeoffs, and learning from feedback
Nice To Haves
- Experience with perceptual quality metrics for video and/or audio (objective + subjective evaluation)
- Experience working on real-time or production-scale media systems
- Experience with model compression/optimization and deployment of deep learning models
Responsibilities
- Design and develop novel multimodal AI models for immersive audio‑visual content creation, enhancement, and rendering
- Combine deep learning with perceptually grounded approaches (signal processing, human perception, and quality metrics)
- Build prototypes and evaluate systems using both objective metrics and human/perceptual assessment
- Partner with cross-functional teams to translate research into robust, production-ready solutions
- Contribute to Dolby’s innovation pipeline through publications, patents, and technology transfer
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Ph.D. or professional degree
Number of Employees
501-1,000 employees
