Senior Foundational AI Researcher

Position: Senior Foundational AI Researcher United States
Hybrid## Senior Foundational AI Researcher Atlanta, Georgia,United States 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.Dolby

is looking for a talented Senior AI Researcher to join Dolby’s research efforts to develop the next generation of AI based audio and video technologies. You will work with Dolby’s world-class audio and vision experts to invent new multimedia analysis, processing and rendering technologies. As a part of a global team, the Senior AI Researcher will work on ideas exploring new horizons in multi-modal media processing, analysis, replay and organization.

You will be responsible for performing fundamental new research, transferring technology to product groups, and draft patent applications.
** Summary
* * You will push the boundaries of the state-of-the-art in audio and media technologies. The 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.

With the explosion of multi-modal foundation models and the growing capabilities of vision-language and audio-language systems, you will partner closely with Dolby’s Applied AI team, which actively pursues the integration of these cutting-edge technologies into next-generation audio and media experiences. You will be able to hit the ground running, innovate, and contribute to impactful projects that leverage the latest advancements in AI.

Consequently, experience with audio models, language models, question answering, vision-language models, captioning, etc. would be highly beneficial.
** Main Responsibilities*
* • Partner closely with other domain experts to refine and execute Dolby’s technical strategy in artificial intelligence and machine learning.
• Use deep learning to create new solutions (including foundation models) and enhance existing applications.
• Push the state-of-the-art and develop intellectual property.
• Transfer technology to product groups and draft patent applications.
• Advise internal leaders on recent deep learning advancements in the industry and academia to further influence research direction and business decisions.
** Requirements*
* • Ph.D. in Computer Science or similar field.
• A strong background in deep learning, both in terms of conceptual understanding, as well as practical experience.
• Knowledge in audio, video, or text processing is desirable.
• Strong publication record, with publications in major machine learning conferences (e.g. NeurIPS, ICLR, ICML). Publications in top domain-specific conferences is desirable (e.g., ACL, CVPR, ICASSP).
• Good knowledge about current machine learning literature.
• Highly skilled in Python and one or more popular deep learning frameworks (Tensor Flow or…