PhD Intern, Generative Video Research

Join the leader in entertainment innovation and help us design the future. The Dolby U internship program offers impactful, project-based work experience in a collaborative, creative environment where you work side by side with industry leaders. Amplify your insatiable curiosity by implementing real-world solutions that revolutionize how people communicate and how entertainment is created, delivered, and enjoyed worldwide. 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. For any student seeking to gain invaluable expertise through meaningful, personal contributions, we invite you to join us in continuing to design a future where technology meets entertainment!

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 the
cutting-edge and impactful topics in the field. With the guidance of Dolby’s leading media
technology experts, you will address industry-relevant, real-world generative video problems
aimed at creating advanced consumer experience in multimedia entertainment.
This opportunity will be based at our research office in Sunnyvale, California.
Summary of Position:
We are a key research team within Dolby’s Advanced Technology Group, focused on creating
cutting-edge imaging technologies that drive next-generation consumer experiences. We are
looking for strong candidates with solid technical skills, problem-solving and analytical abilities,
and excellent communication and collaboration skills. The ideal candidate should have interest
in one or more of the following areas:
• Diffusion models, VAEs, or other generative AI models
• Video content analysis and understanding
• Ensuring consistency and coherence in video applications
• Transformers or other architectures leveraging temporal and spatial correlations in
video
Requirements:
• PhD in Artificial Intelligence, Computer Science, Electrical Engineering, or related field.
• Proven ability to conduct research and demonstrate results through projects,
prototypes, patent filings, and papers in peer reviewed journals and conferences.
• Experience as a researcher, including internships, full-time positions, or at a lab.
• Proficiency in Python and PyTorch
• Excellent written and verbal communication skills.
Highly Desired Experience in one of the following:
• Creating demos and prototypes for research applications.
• Developing innovative AI based solutions for video generation and enhancement.
• Experience in applying advanced techniques for video content analysis and
understanding.
• 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, 2024.
Eligibility:
Currently enrolled in a doctorate program in Artificial Intelligence, Computer Science, Electrical
Engineering, Computer Engineering, or a related field. Must be available to work full-time Monday –
Friday for 12 weeks between September 2024 – December 2024.
Start date for the internship is as follows: (*note* this date is not flexible)
• Monday, September 23, 2024

The San Francisco/Bay Area base hourly range for this internship position is $44-57/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.