What is the Research Internship Program?

As a Research Intern at Dolby, you will have the opportunity to define and lead your own pioneering research project that connects big-picture change with the meticulous detail of technological innovation. Our intern research projects are driven by a greater purpose: enhancing the human experience.

With the guidance of Dolby's leading media technology experts, you will delve into your own innovative projects across exciting domains, which could include, but not limited to: Bringing Human Perception into Digital Experiences, Personalizing Content, Enhancing Wellbeing and Healthcare, Nurturing Deeper Connections, and Enhancing Education and Learning Experiences.

This opportunity will be based out of our research office in San Francisco.

What are we looking for in candidates?

We are seeking current PhD students with a diverse range of backgrounds and experiences. To be eligible, you should have completed at least one year of your doctoral program. Along with solid technical skills, candidates should demonstrateproblem-solvingand analytical abilities, goodcommunicationandcollaborationskills, acuriosityfor how and why things work as they do, and a passionfor audio, video, movies, music, or game 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 audio technologies that drive next generation experiences.

Requirements:

• Working towards a PhD in Computer Science, Electrical Engineering, Computer Engineering, Music Technology, or related field

• Demonstrated application of machine learning and signal processing to real-world audio problems

• Solid background in the theory of audio signal processing, linear algebra, probability, and machine learning

• Proven ability to demonstrate results through projects, prototypes, patent filings, and papers in peer reviewed journals and conferences

• Proficiency in MATLAB, C/C++, or Python

Highly Desired Experience in one or more of the following:

• Real-time implementation of audio algorithms

• Practical use of audio playback and recording equipment

• Spatial audio reproduction and perception

• Room and transducer acoustics

• Acoustic measurement techniques

• Optimization theory

• Critical listening

• Music performance or production

• Audio content creation and rendering with game engines

• Practical experience in one or more of the aforementioned innovation zones

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 September 25, 2024.

Eligibility:

Currently a PhD in Computer Science, Electrical Engineering, Computer Engineering, Music Technology, or related field. Must be available to work full-time Monday - Friday for 12 weeks between May/June 2025 - August/September 2025.

The start dates for this internship are as follows (please note these dates are not flexible):

• May 19, 2025 or

• June 16, 2025

The San Francisco/Bay Area base hourly range for this internship position is $50-57/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.