Sr. Researcher - Multimodal AI
Why This Role Stands Out
You will pioneer groundbreaking multimodal AI technologies at the forefront of audio and video innovation, contributing to a renowned company's legacy of excellence. This hybrid role is perfect for a driven researcher with a strong publication record and expertise in generative models and deep learning, eager to shape the future of multimedia experiences.
Quick Overview
Job Description
Dolby's research division is seeking a senior AI researcher to develop next generation audio and video technologies. The researcher will work with world class audio and vision experts to invent new multimedia analysis, processing, and rendering technologies, performing fundamental research, transferring technology to product groups, and drafting patent applications.
Key Knowledge Areas- 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.
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 integration of such models into audio and media experiences. Experience with language models, question answering, vision language models, captioning, etc. is highly beneficial.
Main Responsibilities- Work 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 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, with a focus on deep learning; knowledge in audio, video, or text processing is desirable.
- Strong publication record in major machine learning conferences (NeurIPS, ICLR, ICML) and, preferably, domain specific conferences (ACL, CVPR, ICASSP, AAAI, CHI, VIS, WACV).
- Good knowledge of 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 skills.
- HCI experience in conjunction with AI is nice to have but not a requirement.
Skills
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