Multimodal Science/AI Intern

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.

What is the internship program?

The Dolby U internship program offers impactful, project-based work experience in a collaborative, creative environment where you work with industry leaders. It is a great way to get exposure to cool technologies, hone your skills, and build a pathway toward full-time opportunities with Dolby.

Dolby Laboratories is looking for a self-motivated, talented individual interested in applying their theoretical and practical expertise to the development of new technologies. The position is in the Science Tech Team – within the Advanced Technology Group of Dolby Laboratories. It will involve working in close collaboration with other scientists/technology developers/researchers in multiple locations.

Responsibilities

As a member of the Science Tech team, your role will involve creating novel AI algorithms that utilize audio, video, text, or other input modalities. These algorithms aim to personalize audiovisual experiences, intelligently analyze and process content, with the ultimate mission to build innovative technologies that can revolutionize entertainment.

At Dolby, everyone is invested in your success and strives to make it the best place for you to start your career. As part of your internship experience at Dolby, you’ll get the following:

• First-hand exposure to Dolby technology.

• A diverse, open, and welcoming culture.

• Practical experience: get to be a part of real-world projects.

• Impact: your work will be used by millions of people every day.

• The potential to publish and/or patent your innovations.
  

What are we looking for in candidates?

Along with your 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 audio, video, movies, music, or game technology.

Areas of Focus

• Multimodal Machine Learning and Deep Learning.

• Audiovisual content analysis and enhancement.

• AI multimodal representation.

• AI for generative media.

• Real-time human sensing for interactive applications (human computer interfaces, affective computing, etc.)

• Immersive experiences and personalization.

• Deep learning-based computer vision and audio processing.
  

Qualifications

• Working towards a Master’s or Ph.D. degree in Artificial Intelligence, Electrical Engineering, Computer Science, Bioengineering, Neuroscience, or related field.

• Experience working with deep learning architecture for audio or/and video processing.

• Experience developing and training multimodal deep learning architectures.

• Programming experience in Python, and experience working with frameworks like PyTorch or TensorFlow.

• Experience solving analytical problems using quantitative approaches.

• Ability to prototype quickly, with adept critical thinking skills.

• Excellent communication skills and a team-oriented work ethic.

• Proven track record of writing technical reports and/or publications is a plus.

• First-author publications at peer-reviewed AI conferences is a plus.
  

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

Working towards a master’s or Ph.D. degree in Computer Science, Electrical Engineering, or a related field; recent grads within six months of graduation are also eligible to apply. Must be available to work full-time, Monday to Friday, for three or six months starting from September 2023.

Start date for the internship is as follows (Note that this start date is not flexible):

• Monday, September 25, 2023
  

The San Francisco/Bay Area base hourly range for this internship position is $45-$50/hr based on education level 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.