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Speech/Audio Deep Learning Intern

San Francisco, California, United States
Dolby
ago
internship Enhancement

Job Description

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.  

As an intern, the Dolby U 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 revolutionize how people communicate and how entertainment is created, delivered, and enjoyed worldwide. For anyone seeking to gain invaluable expertise through meaningful, personal contributions, join us to design a future where technology meets entertainment!

SUMMARY

The Applied AI team is looking for a candidate to work on a collection of deep learning based speech/audio processing projects, such as self-supervised representation learning, source separation, speech or music enhancement, etc. Interns will work with top researchers on full cycle of research with the goal of pushing state-of-the-art.

RESPONSIBILITIES

  • Work with researchers to design and implement novel deep learning algorithms for speech/audio processing.  

  • Extensive literature reading, creative thinking, hands-on development, result analysis and paper writing.

QUALIFICATIONS 

  • Candidates working towards a Ph.D degree in the field of speech/audio deep learning. 

  • Strong hands-on experience in one or more research areas in speech/audio deep learning, such as self-supervised learning, speech or music enhancement, source separation, etc. 

  • Strong coding capability with deep learning tools, such as Pytorch. 

  • Strong team player, with good written and verbal communication skills. 

  • Tracking record of publications in deep learning top conferences/journals is a big plus. 

ELIGIBILITY 

Must be available to work full-time Monday–Friday for 3 or 6 months starting from September 2022.  

Start date for the internship is as follows: (*note* this date is not flexible)

  • Monday, September 26, 2022

Apply Now