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Video Img Deep Learn Research Int

Dolby

This is a Full-time position in Sunnyvale, CA posted December 21, 2021.

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 that 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
We are looking to recruit interns in the image and video codec group.

The qualified candidate will develop novel image/video processing and video compression technology using learning-based algorithm that enables the next generation of Dolby technologies.

Responsibilities

  • Design and implement innovative image/video processing and video coding algorithms with learning-based technology.
  • Document and present the new algorithms and implementations in various forms, such as technical white papers, etc.

Qualifications

  • In study towards PhD degree in Electrical Engineering or Computer Engineering.
  • In-depth expertise in deep learning (DL) and statistical machine learning (ML)
  • Extensive programming experience in python/C/C++ applied to image/video coding/processing and experience with one or more deep learning frameworks e.g., TensorFlow, PyTorch, is required.
  • Solid research background in image/video processing and image/video coding, or related fields.

    Proven track record of publications in first-tier conferences and/or journals a plus.

  • Excellent written and verbal communication skills.

    Strong team player.

Eligibility
Working towards a PhD degree in Electrical Engineering, Computer Engineering, 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 May/June 2022 – Aug/Sept 2022.

Start dates for the internship are as follows: (*note* these dates are not flexible)

  • Monday, May 23, 2022
  • Monday, June 6, 2022
  • Monday, June 20, 2022
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