- 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 large language models and natural language processing, 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, experience with language models, question answering, vision-language models, captioning, etc. would be highly beneficial.
Consequently, knowledge or experience in any/all of the following are helpful:
- Diffusion, autoregressive, or other generative models.
- Natural Language Processing, LLMs.
- 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.
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.
- Strong knowledge and interest in audio processing
- Knowledge in 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.
- Good communication and collaboration skills.
