Senior AI Neuroscience Researcher

 

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.

 

We are seeking a talented Senior AI Researcher to join the Perceptual and Interactive Multimedia Computing team in the Multimodal Experiences Lab.

We are a key research team within Dolby’s Advanced Technology Group, focused on creating cutting edge multimodal technologies that drive next generation experiences. We’re looking for skilled researchers who are excited to advance the state of the art in technologies of interest to Dolby as well as the human society at large, in particular, around the areas of Multimodal AI and Computational Neuroscience.

We welcome the opportunity to have you join our growing Atlanta Advanced Technology Research team.

 

Key Responsibilities:

• Develop computational neuroscience models of the human perceptual system,
• Explore multimodal representation in human perceptual system and the applications in deep learning models,
• Develop deep learning models with perceptually relevant signal processing and metrics.

 

What you need to succeed

Competencies:

• Technical depth: Strong technical background on neuroscience, solid knowledge of ML and AI fundamentals. Understanding of structural differences between Artificial Neural Networks and Biological Neural Networks. Ability to emulate cortical processes with CNNs. 
• Explore new technologies: Openness to learn new skills, work with cutting-edge technologies, and innovate in new areas.
• Invent & Innovate: Develop know-how, algorithms and software tools with both a short and long-term focus that further strengthen Dolby as a world leader for sight and sound experiences associated with digital content consumption. Then influence and collaborate with business group partners putting the technology into production. Ability to leverage deepnet perception models to image/video/audio/cross modal applications.  
• Work with a sense of Urgency: Respond assertively to changing trends and new technologies and creates new algorithms to capitalize on them. Take appropriate risks to be ahead of the competition and the market.
• Collaborate: Collaborate with and influence peers in developing industry-leading technologies. Work with internal experts and external trendsetters and technology drivers in academia and in partner enterprises.

 

Desired Background:

• PhD degree in Computer Science, Electrical Engineering, Cognitive Science, Neuroscience, Biomedical Engineering, or a related field. 
• Knowledge of fundamental psychophysical findings and models of spatiotemporal perception, as well as depth perception in the visual and/or auditory domains.  Knowledge of color is a plus. 
• Knowledge of signal representation, redundancy, perceptual relevance, and understanding of entropy as used to develop video and audio compression algorithms are a plus. 
• Experience with multimodal perception