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.
For this high functioning team, the nature of the work benefits from frequent in-office presence, and employees may be expected to work from a company office up to four days per week. While we remain committed to flexibility, this team's rhythm includes regular in-person connection to support collaboration, learning, and impact.
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
Legal Department provides core legal support to all Dolby functions, runs several IP-centric businesses, and leads government relations.
Summary
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. As an Intern, we have a collegial culture - big enough to give you all the resources you need, and small enough so you can make a real difference.
We are looking to recruit interns in the video coding standards innovation team. The qualified candidate will develop novel video compression technology using learning-based algorithm that enable the next generation of Dolby technologies.
Responsibilities
- Design and implement innovative neural network/learning-based algorithm for end-to-end image/video compression.
- Document and present the new algorithms and implementations in various forms, such as technical white papers, etc.
Qualifications
- In study towards PhD degree in Electrical Engineering or Computer Engineering.
- In-depth expertise in deep learning (DL) and statistical machine learning (ML)
- Extensive programming experience in python/C/C++ applied to image/video coding/processing and experience with one or more deep learning frameworks e.g., PyTorch, is required.
- Solid research background in image/video processing and image/video coding, or related fields. Proven track record of publications in first-tier conferences and/or journals a plus.
- Excellent written and verbal communication skills. Strong team player.
Eligibility:
Working towards PhD degree in Electrical Engineering or Computer Engineering. entry level candidates (within 6 months of graduation) are eligible. Must be available to work full-time Monday - Friday for 6 months between September 2026- March 2027.
Start dates for the internship are as follows: (*note* this date is not flexible)
The San Francisco/Bay Area base hourly range for this internship position is $55-62/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.
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.
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