Senior Audio AI Researcher

Dolby Laboratories, Inc.•Atlanta, GA

4d•$138,000 - $170,000•Hybrid

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. What you will do: You will push the boundaries of the state-of-the-art in audio, video, and multi-modal 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 audio, video, and multi-modal foundational models, you will partner closely with Dolby’s worldwide AI research staff, which actively pursues the integration of such models into audio and media experiences. You will be able to hit the ground running, innovate, and contribute to such projects. Consequently, knowledge or experience in any/all of the following are helpful: Diffusion, autoregressive, or other generative models. Natural Language processing 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.

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 (TensorFlow or PyTorch).
Ability to envision new technologies and turn them into innovative products. Creativity.
Good communication and collaboration skills.

Nice To Haves

Diffusion, autoregressive, or other generative models.
Natural Language processing
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.

Responsibilities

Partner closely with other domain experts to refine and execute Dolby’s technical strategy in artificial intelligence and machine learning.
Apply deep learning and foundation models to create new solutions and enhance existing applications.
Push the state-of-the-art and develop new technology
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.