Principal Research Scientist

Adobe
San Francisco, CA Full Time
POSTED ON 12/12/2021 CLOSED ON 4/30/2022

What are the responsibilities and job description for the Principal Research Scientist position at Adobe?

locations
San Francisco
time type
Full time
posted on
Posted Yesterday
job requisition id
R119448
Our Company

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

The Opportunity
Audio is at the heart of a large class of creative endeavors - music, podcasts, video, and augmented reality to name a few. In order to help people create, we are re-imagining audio technology with AI. We are dramatically simplifying the creation of audio content and enabling new kinds of content that one could simply not create in the past. We are looking for a researcher to lead music generation research at Adobe. The ideal candidate is passionate about audio AI, pushes the boundaries of the state of the art in the field, and is excited to bring research ideas to life in the real-world!
What you'll Do
  • Lead music generation research and more broadly provide core contributions to audio AI at Adobe.
  • Engage with the scientific community, publish research papers, and file patents based on your research.
  • Work with product teams to tech transfer your work into products.
What you need to succeed
  • Significant research experience in audio AI
  • Deep insight into real-world audio applications
  • PhD in Computer Science, Electrical Engineering, or equivalent
  • Significant hands-on experience with machine learning frameworks and models
  • Strong communication and collaboration skills
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For Employer
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