Research Intern - Generative Video (PhD, Fall 2025)

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.

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 .

What are we looking for in candidates?

We are seeking current PhD students with backgrounds and experiences in generative video models , specifically in diffusion models . 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 video, or natural language 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 imaging, video processing, computer vision, vision language, and multimodal technologies that drive next generation consumer experiences. We are looking for strong candidates with an interest in one or more of the following areas:

• Video processing.

• Generative AI.

• Diffusion models.

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.

Highly Desired Experience in the following:

• Creating demos and prototypes for research applications.

• Writing technical reports and/or publications.

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

We will review applications on a rolling basis. For the best chance to have your resume reviewed and considered, we recommend submitting your application by June 28, 2025.

Eligibility:

Currently enrolled in a doctorate program in Computer Science, Electrical Engineering, Computer Engineering, or a related field. 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 dates for this internship are as follows (please note these dates are not flexible):

• Monday, September 22, 2025

The San Francisco/Bay Area base hourly range for this internship position is $57/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.

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.