PhD Research Intern- Multimodal Experiences (Summer '26)

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 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, Sunnyvale , 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 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.

Summary of Position:
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 are looking for strong candidates with an interest in, but not limited to one of more of the following areas:

• Machine perception and reasoning

• Computer vision, speech/audio processing and natural language processing

• Multimodal/cross-modal representation learning

• Multimedia content analysis, generation and enhancement (music, speech, audio, video, and/or text)

• Speech, music, or video content understanding and information retrieval

• Generative AI for media creation

• Efficient deep learning

• Explainable AI and trustworthy AI

• Perceptual and interactive multimedia

• Spatial computing for 6DoF A/V media

• 3D deep learning (including NERF, Gaussian Splatting, etc.)

• 2D/3D Object detection/segmentation/recognition/tracking

• Computational photography

• Human sensing for entertainment applications (human computer interfaces, affective computing, physiological data measurement and analysis, etc.)

• Computational/experimental neuroscience and human perception

• Immersive experiences and personalization experiential systems

• PhD students in Artificial Intelligence, Electrical Engineering, Computer Science, Bioengineering, Neuroscience, or related field.

• Proven ability to pursue new areas of multimodal research for AI, data analysis, or neuroscience and demonstrate results through projects, prototypes, patent filings, and papers in peer reviewed journals and conferences.

• Experience as a researcher, including internships, full-time, or at a lab.

• Experience with one or more programming languages (e.g., Python, C/C++, MATLAB, etc.).

• Creating demos and prototypes for research applications.

• Working with frameworks like PyTorch or TensorFlow.

• Developing and training multimodal deep learning architectures.

• Writing technical reports and/or publications.

• First-author publications at peer-reviewed conferences or journals.

• May 18, 2026 or

• June 15, 2026