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Research Scientist - Reinforcement Learning

4.00 to 6.00 Years   Noida   07 Sep, 2021
Job LocationNoida
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

Our CompanyChanging 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 Data Science researcher with a strong track record of publications in top tier conferences to define and lead research areas that will transform digital marketing by enabling better execution, analysis and planning of marketing activities 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

  • Multiple publications in top tier conferences such as CVPR, ICCV, ICLR, ECCV, NeurIPS, ICML etc.
  • Deep expertise in one or more of the following areas - Recommender systems, Bandit Theory, Decision Theory, (Deep) Reinforcement Learning, Causal Modelling, Behavioural modelling and analysis, Representation Learning, Multi-Agent Systems, Topological Data Analysis,Model Interpretability and Explainability.
  • Advanced degree (preferably PhD) in Computer Science/Electrical Engineering, Mathematics, Physics or related areas
  • Excellent communication skills
  • Ability to take research risk and tackle hard problems independently
  • For senior positions, we require seven or more years of post-PhD experience
At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely.If you re looking to make an impact, Adobes the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, or veteran status.,

Keyskills :
researchhplcchemistryvalidationapibaggage handling systemsnatural language understandingdata sciencedata analysiscomputer visiondecision theorymachine learningnatural languageapplied researchemerging artists

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