Research Scientist
AdobeNoidaPosted 1 March 2026
Job Description
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! Our Company At Adobe, you will be immersed in an outstanding work environment that is recognized around the world. Adobe has been consistently listed as Fortune’s “100 Best Companies to Work For” for 20 consecutive years. You will also be surrounded by colleagues who are dedicated to supporting each other's growth. If you’re looking to make a difference, Adobe's the place for you. Learn more about our employees' career experiences on the Adobe Life blog and explore the valuable benefits we provide. Changing the world through digital experiences is what Adobe’s all about. We give global brands everything they need to craft and deliver outstanding digital experiences. We’re passionate about redefining how companies connect with customers across every screen. Our goal is to recruit top talent and provide excellent employee experiences that prioritize respect and equal opportunity. We acknowledge that valuable insights can originate from any team member, including yourself. Adobe is seeking a highly motivated and versatile Research Scientist to join our Media and Data Science Research (MDSR) Laboratory (https://adobe.mdsr.live/) in the Digital Experience (DX) business unit. This role provides an outstanding opportunity to engage in world-class research that will craft the future of digital experiences. As a part of our ambitious team, you will work on innovative research problems and implement solutions to revolutionize how businesses operate. As part of the research team, you will get an opportunity to turn your research ideas into successful products and at the same time, disseminate them at top conferences and journals. Responsibilities Develop and lead research initiatives in areas such as Natural Language Processing, Computational Social Science, and Machine Learning. Collaborate with product teams to turn research advances into impactful products. Design challenging evaluations related to creative intelligence and marketing performance. Develop scalable synthetic data generation and evaluation techniques. Manipulate and analyze complex, high-volume, high-dimensionality data from diverse sources. Train models and run experiments to study data and model quality. Iteratively refine research experiments and clearly communicate insights to the team. Integrate core machine learning models into the Adobe Experience Manager and Adobe Experience Platform. Collaborate with product, design, and engineering teams to rapidly prototype and transition conceptual prototypes from research to production. Requirements (PhD degree and 3 years of experience) or (six years of experience) in industrial research in Computer Science, Statistics, Economics, or other relevant technical fields. Hands-on experience and a track record of deploying solutions in production environments. Multiple publications in top-tier conferences such as ICLR, NeurIPS, ICML, PNAS, Nature, Science, ACL, EMNLP, CHI, WWW, KDD, CVPR, etc. Proven expertise in one or more of the following areas: Large Language Models, Natural Language Processing, Computational Social Science, Behavioral Sciences, Agentic Workflows, Social Network Analysis, Causal Inference, Recommendation Systems, Multimodal Content Understanding. You Will Thrive In This Role If You: Experience in deriving concrete conclusions and actionable ins ... (truncated, view full listing at source)
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