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.
Multimodal AI Intern - Trustworthy AI
Who We Are:
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.
Dolby engineers, scientists, and researchers work on core technologies, including Dolby Atmos and Dolby Vision. Our global teams share their talent and energy to enable the most immersive experiences that technology can deliver. Join Dolby and work at the cutting edge of the media backbone for the world of tomorrow.
What is the internship program?
The Dolby U internship program offers impactful, project-based work experience in a collaborative, creative environment where you work with industry leaders. It is a great way to get exposure to cool technologies, hone your skills, and build a pathway toward full-time opportunities with Dolby.
Dolby Laboratories is looking for a self-motivated, talented individual interested in applying their theoretical and practical expertise to the development of new technologies. The position is in the Multimodal Processing Team - within the Advanced Technology Group of Dolby Laboratories. It will involve working in close collaboration with other research scientists/engineers/AI researchers in multiple locations.
Responsibilities
As a member of the Machine Perception and Reasoning team, you will develop innovative AI algorithms designed to process audio and/or video data for applications in content watermarking, model poisoning, deepfake detection, content attribution, and related areas within trustworthy AI . Your contributions will help ensure the protection and traceability of audiovisual content, enable accurate attribution for content used in generative model training, and address other critical use cases in the field. This internship involves a direct collaboration with Dolby business partners (music labels and/or movie studios).
At Dolby, everyone is invested in your success and strives to make it the best place for you to start your career. As part of your internship experience at Dolby, you'll get the following:
- First-hand exposure to Dolby technology.
- A diverse, open, and welcoming culture.
- Practical experience: get to be a part of real-world projects.
- Impact: your work will be used by millions of people every day.
- The potential to publish and/or patent your innovations.
Along with your 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.
Areas of Focus
- Multimodal machine learning and deep learning.
- Trustworthy AI.
- Adversarial machine learning.
- Audiovisual content analysis and enhancement.
- Multimodal representation learning.
- Generative AI for audio and video.
- Working towards a Ph.D. degree in Artificial Intelligence, Electrical Engineering, Computer Science, or related field.
- Experience developing and training deep learning architectures.
- Experience working with deep learning architecture for audio and/or video applications.
- Research experience in trustworthy AI is a plus, specifically in content watermarking and attribution, model traceability, deep fake detection, and related areas.
- First-author publications at top-tier peer-reviewed AI conferences (CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, InterSpeech, ICASSP, etc.).
- Programming experience in Python, and experience working with frameworks like PyTorch or TensorFlow.
- Ability to prototype quickly, with adept critical thinking skills.
- Excellent communication skills and a team-oriented work ethic.
Working towards a Ph.D. degree in Computer Science, Electrical Engineering, or a related field; recent grads within six months of graduation are also eligible to apply. Must be available to work full-time, Monday - Friday for 3 months between September 2025 - December 2025.
Start date for the internship is as follows: (note this date is 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.