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.
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What is the Research Internship Program?
As a Research Intern at Dolby, you will have the opportunity to define and lead your own pioneering research project that connects big-picture change with the meticulous detail of technological innovation. Our intern research projects are driven by a greater purpose: enhancing the human experience.
With the guidance of Dolby's leading media technology experts, you will delve into your own innovative projects across exciting domains, which could include, but not limited to: Bringing Human Perception into Digital Experiences, Personalizing Content, Enhancing Wellbeing and Healthcare, Nurturing Deeper Connections, and Enhancing Education and Learning Experiences.
This opportunity will be based out of our research offices in San Francisco or Atlanta, depending on the role.
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 demonstrateproblem-solvingand analytical abilities, goodcommunicationandcollaborationskills, acuriosityfor how and why things work as they do, and a passionfor audio, video, movies, music, or game technology. You have a desire to bring in new ideas and are open to learning from others.
Summary of the Position:
We are a key research team within Dolby's Advanced Technology Group, focused on advancing both cloud and network-delivered media experiences that are data-driven for the world's most influential media service providers. We are looking for candidates with an interest in one or more of the following areas:
- Digital communication and/or information theory targeted at improving the efficiency, performance, and reliability of data / media networks.
- Investigating network, network virtualization and cloud compute topologies including performance modeling and related utility optimizations using machine learning.
- Investigating distributed compute architectures for data, media processing and distribution maintaining high performance at lowest cost.
- Developing big data management approaches for heterogenous data domain that includes audio, video, text, tabular and time series data
- Identification, modeling, and control of non-linear dynamical systems using machine learning.
- Development of machine learning-based techniques for QoS/QoE prediction, resource management (e.g., edge compute), traffic classification, and routing optimization in Software Defined Networks (SDN).
- Investigating the use of wireless sensor networks and data to improve the consumer entertainment experience in dynamic settings.
- Information-Centric Networking (ICN) including Named Data Network (NDN) architecture for large-scale "user controlled" decentralized content distribution.
- Working towards a PhD in Computer Science, Electrical Engineering, Computer Engineering, Data Science, or a related field, with an interest in digital communications, data networking, distributed compute, and machine learning.
- Proficient in programming, e.g., C/C++, Python, Matlab or similar research/development tools.
- Demonstrated knowledge of information and/or digital communication theory with a focus on channel or network coding.
- Comprehensive understanding and working knowledge of modern networking protocols and distributed systems.
- Experience in the use and applications of modern cloud compute architectures and information distribution in large-scale networks including decentralized network architectures. e.g., IPFS, ICN/NDN, etc.
- Experience in developing distributed algorithms targeting improved control and utility maximization in distributed settings.
- Proficient in the use of machine learning and data science to solve large-scale control or big data management problems.
- Design and development of proof-of-concept test platforms to evaluate and quantify the performance of research outcomes including the development of test methods and written analyses of results.
- For Data Focus:
- Demonstrative experience in big data management and/or big data analytics.
- Experience in distributed systems, distributed database storage engines, query processing and query optimization.
- Knowledge of state-of-the-art OTT media delivery paradigms, relevant standards and methods practiced in the OTT media market today.
- Development of novel algorithms for advancing QoS, QoE and network-related optimization problems in multimedia settings.
- Knowledge or exposure to the design of media distribution using network coding techniques.
- Expertise in foundational data management problems including data quality, data profiling, data integration and schema matching.
- Publication in a major data communication, networking and database/distributed systems publication/journal or conference. (e.g., ACM SIGCOMM, ACM SIGMOD, VLDB, IEEE GLOBECOM, IEEE ICC, IEEE Communications Magazine, IEEE Network, ICDCS, etc.)
- Data analysis and visualization
- GPU programming
Eligibility:
Currently a PhD student in Computer Science, Electrical Engineering, Computer Engineering, Data Science, or a related field. Must be available to work full-time Monday - Friday for 12 weeks between May/June 2025 - August/September 2025.
The start dates for this internship are as follows (please note these dates are not flexible):
- May 19, 2025 or
- June 16, 2025
Dolby will consider qualified applicants with criminal histories in a manner consistent with the requirements of San Francisco Police Code, Article 49, and Administrative Code, Article 12
Equal Employment Opportunity:
Dolby is proud to be an equal opportunity employer. Our success depends on the combined skills and talents of all our employees. We are committed to making employment decisions without regard to race, religious creed, color, age, sex, sexual orientation, gender identity, national origin, religion, marital status, family status, medical condition, disability, military service, pregnancy, childbirth and related medical conditions or any other classification protected by federal, state, and local laws and ordinances.