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.
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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.
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 large-scale big data management problems.
- Demonstrable proficiency in applying machine learning and data science techniques to data management problems.
- Solid understanding of deep learning fundamentals and experience with frameworks such as PyTorch.
- Excellent programming skills in Python.
- Ability to work independently and as part of a collaborative research team.
- First-authored publication in relevant domains at top conferences such as VLDB, ACM SIGMOD, SIGKDD, SIGIR, ICDCS, ICDE, IEEE Big Data, WWW, etc
- Expertise in foundational data management and information retrieval problems including data modeling, data profiling and quality, data integration, schema matching, graph databases, knowledge graphs, and semantic model representations.
- Experience with scaling up data processing and model training across multiple GPUs across hybrid infrastructures.
- Demonstrative experience in big data management, big data analytics and data visualization.
- Knowledge of data management techniques for unstructured media data
Application Process
We will review applications on a rolling basis. Qualified candidates should submit a CV, research statement, and relevant publications or project examples.
Join us in shaping the future of entertainment technology through the power of AI and foundation models.
Eligibility
Currently enrolled in Doctoral program. Recent grads who are within 6 months of graduation are also eligible to apply. Must be available to work full-time Monday - Friday for 12 weeks between September 2025 - December 2025.
The start date for this internship is as follows (please note these dates are not flexible):
- Monday, September 22, 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.