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. Dolby’s research division is looking for a researcher to join Dolby’s research efforts to develop the next generation of AI based multimodal technologies. The candidate will work with Dolby’s world-class audio and vision experts to invent new multimedia analysis, processing and rendering technologies to drive new interactive and immersive experiences. As a part of an international team, the candidate will work on ideas exploring new horizons in multimodal processing, analysis, and interactivity. The researcher is responsible for performing fundamental new research, transferring technology to product groups, and drafting patent applications. SummaryDolby’s research division is currently looking for a talented, self-motivated researcher to push the boundaries of the state-of-the-art in multi-media technologies. An ideal candidate would have a strong background in HCI and deep learning, both in terms of conceptual understanding, as well as practical experience. A core aspect of this role involves being able to keep up to date with the literature, implement, and innovate. Consequently, knowledge or experience in any/all the following are helpful: Human-computer interaction techniques and application of deep learning to this area Diffusion, autoregressive, or other generative models. Self-supervised, contrastive learning, auto-encoders. Audio, image, or text applications – Source separation, text-to-speech, music synthesis, image segmentation, image captioning, question answering, language models, etc. Latent space exploration, navigation, control and alignment techniques The role will involve prototyping inspiring experiences that explore a complement of modalities. These technologies will be used to extend immersion and interaction, the candidate should be willing to explore empirical refinement of the user experience. The ideal candidate has experience in developing real-time applications delivering multi-modal experiences and/or human-computer interfaces with generative AI involvement.
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Job Type
Full-time
Career Level
Mid Level
Education Level
Ph.D. or professional degree
Number of Employees
1,001-5,000 employees