Research Scientist – AI for Content Authenticity
San Jose
hace 5 días

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!

Adobe Research is seeking computer scientists with expertise in Artificial Intelligence topics, particularly in Computer Vision, Deep Learning, Joint Language and Vision Understanding, and Media Intelligence.

As a research scientist at Adobe, you will be joining a vibrant team of researchers to create the future of digital media.

You will have the opportunity to develop innovative ideas suitable for academic publication, to mentor interns, and to participate in our university collaboration program.

  • Adobe Research has a well-earned reputation for producing cutting edge, publishable research, close ties to top academic institutions around the world, while providing researchers the opportunity to work with exceptional product teams in implementing your ideas as advanced features in Adobe'
  • s world-class products that reach millions of people worldwide. This is an opportunity to enhance and revolutionize our users'
  • creative, document, and analytic content experiences working in collaboration with the Content Authenticity Initiative team at Adobe.

    With the volume and velocity of digital content, the ability to provide provenance and attribution for creators is critical to ensure transparency for consumers.

    It’s also an important part of addressing the spread of disinformation and ultimately restoring trust in media. The Content Authenticity Initiative (CAI) team at Adobe believe that creating a long-term solution is a shared responsibility among creators, technology companies, human rights defenders and media publishers.

    Adobe Research are working with the CAI team to innovate cutting edge solutions to tackle robust content fingerprinting and identification, detection of manipulated content, and change summarization across a range of media types from documents, to images, to video.

    You will join a team creating major real-world impact to tackle the societal issues surrounding media provenance, researching new techniques with the potential to reach millions of users.


    Conduct cutting edge AI research in collaboration with product teams including Adobe’s Content Authenticity Initiative to tackle real-world societal problems through media provenance.

    Research, develop and enhance technologies that include :

  • Robust re-identification and tracing of images, video, audio and documents including fingerprinting and watermarking technologies.
  • Search, recommendation and intelligent content understanding systems.
  • Detection of media manipulation and generative (synthetic) media.
  • Web-scale search systems for diverse media.
  • Low supervision machine learning and multimodal understanding.
  • Collaborate with Adobe cloud teams to productize new Creative Cloud and Document Cloud technology features.

    Partner with research teams at Adobe, including world class experts in language understanding, computer vision, deep learning, and AI.

    Engage with the research community at large, including university collaborations, intern recruiting and mentorship, and publishing and participation in top-tier conferences.


    Passion for innovation and excellence.

    Ph.D. in Computer Vision, Artificial Intelligence, Machine Learning, or related fields.

    Additional expertise in one or more of the following : visual representation learning, information retrieval, semi-supervised learning, unsupervised data augmentation, fingerprinting and watermarking, visual search.

    A track record of research impact, including high quality publications.

    Solid software engineering skills.

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