PhD Research Intern - Generative Video (Fall 2026)
About The Position
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. About the Role: As a Research Intern – Generative Video at Dolby, you will have the opportunity to work on cutting edge generative video models. With the guidance of Dolby’s leading media technology experts, you will be solving a real-world generative video problem aiming to create advanced consumer experiences in multimedia entertainment. This opportunity will be based out of our research offices in Sunnyvale, California.
Requirements
- PhD students in Artificial Intelligence, Electrical Engineering, Computer Science, or related field.
- Proven ability to pursue new areas of video processing, diffusion model and generative AI 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.
- Proficiency in Python and PyTorch.
- Excellent written and verbal communication skills.
- Currently enrolled in a doctorate program in Computer Science, Electrical Engineering, Computer Engineering, or a related field.
- Must be available to work full-time Monday – Friday for 12 weeks between September 2026 – December 2026.
Nice To Haves
- Creating demos and prototypes for research applications.
- Developing innovative solutions for generative video
- Writing technical reports and/or publications.
- First-author publications at peer-reviewed conferences or journals.
Responsibilities
- Work on cutting edge generative video models.
- Solve a real-world generative video problem aiming to create advanced consumer experiences in multimedia entertainment.
Benefits
- The San Francisco/Bay Area base hourly range for this internship position is $62/hr and can vary if outside of this location. Our hourly ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific hourly range and perks and benefits for your location during the hiring process.
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
Ph.D. or professional degree
