Research Intern - Experience Delivery

 

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.

 

Join the leader in entertainment innovation and help us design the future. 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. As a valued member of the Dolby team, you’ll see and hear the results of your work everywhere, from movie theaters to smartphones. We continuously push the boundaries of audio, imaging, and cloud technology to create spectacular entertainment experiences.

As a diverse and dynamic group, our ATG researchers work on cutting-edge projects related to computer science and electrical engineering for audio, video, and cloud technologies, exploring exciting domains such as AI/ML, algorithms, digital signal processing, audio processing, image processing, computer vision, AR/VR, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.

What are we looking for in candidates?

We are seeking current PhD students with a diverse range of backgrounds and experiences. To be eligible, you should have completed at least one year of your doctoral program. Along with solid technical skills, candidates should demonstrate problem-solving and analytical abilities, good communication and collaboration skills, a curiosity for how and why things work as they do, and a passion for audio, video, movies, music, or game technology. You have a desire to bring in new ideas and are open to learning from others.

 

About the role

The Data Platform and AI Services research team within Dolby’s Advanced Technology Group focuses on advancing our AI and data platforms to enable our AI-based innovation and deliver cloud and network-delivered media experiences to power the world’s most influential media service providers.

 

As a Research Intern, you will:

• Develop big data management approaches for heterogenous data domain that includes audio, video, text, tabular and time series data
• Design and implement novel AI-based algorithms to support (media) data management including ingestion, processing, indexing, retrieval, annotation, and representation.
• Investigate distributed compute architectures for data, media processing and distribution to maintain high performance at lowest cost.
• Collaborate with cross-functional teams to integrate research findings into Dolby's internal systems and external product ecosystem.
• Present research findings to internal stakeholders and potentially at academic conferences.

 

The role will be based out of our research facility in Atlanta, GA, and offers the opportunity to work with state-of-the-art computing resources and proprietary datasets.

Requirements (one or more of the following):

• Currently enrolled in a PhD program in Computer Science, Electrical Engineering, Machine Learning, Computational Media, or related fields, with an interest in big data, large scale data management, distributed systems, machine learning platforms and infrastructure, and/or data networking.
• Strong background in database systems, distributed query engines and query optimization, distributed systems to solve la