Research Intern
Research Intern
Dolby Laboratories
San Francisco, CA
See who Dolby Laboratories has hired for this role
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:
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)
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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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:
- PhD candidates in Computer Science, Human Computer Interactions, Electrical
- Solid background in the theory of signal processing, linear algebra, probability, and
- Demonstrated application of machine learning and signal processing to real-world
- Proven ability to demonstrate results through projects, prototypes, patent filings, and
- Proficiency in MATLAB, C/C++, or Python
- Excellent written and verbal communication skills
- 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
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)
- Monday, September 23, 2024
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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Seniority level
Not Applicable -
Employment type
Full-time -
Job function
Other -
Industries
Broadcast Media Production and Distribution, Computers and Electronics Manufacturing, and Entertainment Providers
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