Dolby Sound Laboratories San Francisco , CA 94118
Posted 2 weeks ago
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.
Summary of Position:
We are a key research team within Dolby's Advanced Technology Group, focused on creating
cutting edge audio, visual, and multimodal technologies that drive next generation experiences.
This project targets at understanding the intersection of machine learning and human
computer interface and developing the corresponding prototype.
Requirements:
Engineering, Artificial Intelligence, or a related field
machine learning
problems
papers in peer reviewed journals and conferences
Proficiency in MATLAB, C/C++, or Python
Excellent written and verbal communication skills
Highly Desired:
Experience on human computer interface
Experience on physiological or bio-signal analysis
Data collection and augmentation
Signal denoising
Optimization theory
Experience on hardware such as amplifier and ADC/DAC
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 PhD in Computer Science, Human Computer Interactions, Electrical
Engineering, Artificial Intelligence, or a related field; recent grads who are within 6 months of
graduation are also eligible to apply. Must be available to work full-time Monday - Friday for 3
months between September 2024 - December 2024.
Start date for the internship is as follows: (note this date is not flexible)
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.
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