Video Coding Research Intern AI Focus (Fall 24) Full-time

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!

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 internsin the image and video codec group. The qualified candidate will develop novel image/video processing and video compression technology using learning-based algorithm that enables the next generation of Dolby technologies.

Responsibilities

• Design and implement innovative image/video processing and video coding algorithms with learning-based and AI technology.
• 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., TensorFlow, 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.

We recognize that applying to internships can be a daunting process, especially if you have not had any previous internships, or if this is a new field of interest to you. Even if you do not have previous professional experience to meet the listed qualifications, we will consider relevant project, volunteer, and extracurricular experiences, and we encourage you to include them on your resume and apply.

Eligibility:

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 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 $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.