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Job Location | Noida |
Education | Not Mentioned |
Salary | Not Disclosed |
Industry | IT - Software |
Functional Area | Bio Tech / R&D / Scientist |
EmploymentType | Full-time |
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 Adobe Digital Experience Cloud s mission is to transform how businesses compete through next generation digital experiences. At the Media and Data Science Research (MDSR) lab, we work on fundamental and applied research problems relevant to the Experience Cloud. Our research areas span Computer Vision, Natural Language Understanding and Data Science. We also work on foundational questions related to AI and allied mathematical areas. We publish at top machine learning conferences and also work with the product teams to turn our research into impactful product features.We are looking for a Computer Vision researcher with a strong track record of publications in top tier conferences to define and lead research areas that will transform visual experiences for the customers of Adobe s Experience Cloud. Job responsibilities include developing and leading research areas, publishing in top conferences and journals, working with product teams to turn the research advances to impactful product features and to collaborate with academic labs.Desired Qualifications and Skills
Keyskills :
researchhplcchemistryvalidationapibaggage handling systemsnatural language understandingdata sciencecomputer visionmachine learning