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Dolby Laboratories seeks a talented AI researcher to advance audio and media AI technologies. You will work with experts to invent/implement deep learning methods for audio, video, and text processing, with emphasis on multimodal models and generative approaches.
A strong publication record and ability to transfer research to products are essential. Collaborating with an international team, you will explore diffusion/self-supervised models, language-vision tasks, and IP creation while
Job 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.
Dolby’s research division is looking for an AI researcher to join Dolby’s research efforts to develop the next generation of AI based audio and video technologies. The candidate will work with Dolby’s world-class audio and vision experts to invent new multimedia analysis, processing and rendering technologies. As a part of an international team, the senior staff research engineer will work on ideas exploring new horizons in audio processing, analysis, replay and organization. The researcher is responsible for performing fundamental new research, transferring technology to product groups, and draft patent applications.
Dolby’s research division is currently looking for a talented, self-motivated AI researcher to push the boundaries of the state-of-the-art in audio and media technologies. An ideal candidate would have a strong background in 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 with the bleeding edge in generative models, self-supervised learning, and multi-modal learning. Consequently, knowledge or experience in any/all the following are helpful:
With the explosion of large language models and natural language processing, the candidate will work closely with Dolby’s Applied AI team, which actively pursues the integration of such models into audio and media experiences. Prospective candidates would be expected to hit the ground running, innovate, and contribute to such projects. Consequently, experience with language models, question answering, vision-language models, captioning, etc. would be highly beneficial.