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.

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).
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.
Good communication and collaboration skills.
Knowledge or experience in any/all of the following are helpful: 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.

Flex Work approach that is truly flexible to support where, when, and how you do your best work.
Excellent compensation and benefits

Senior Foundational Audio AI Researcher

Key skills