Research Scientist

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 versatileResearch Scientist to join ourMedia and Data Science Research (MDSR) Laboratory 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 Design, implement, and optimize ML algorithms to address real-world problems in understanding user behavior and generating content to improve marketing performance. Develop scalable synthetic data generation and evaluation techniques. Manipulate and analyze complex, high-volume, high-dimensionality data from diverse sources. 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: Proven expertise in one or more of the following areas: Large Language Models, Computer Vision, Natural Language Processing, Computational Social Science, Behavioral Sciences, Agentic Workflows, Social Network Analysis, Causal Inference, Recommendation Systems, Multimodal Content Understanding. Quality research work published in top conferences. Hands-on experience and a track record of deploying solutions in production environments. Experience in deriving concrete conclusions and actionable insights from large datasets. Ability to take research risks and solve hard problems independently. PhD degree or an equivalent experience (for BTech) in industrial research in Computer Science, Statistics, Economics, or other relevant technical fields. You Will Thrive In This Role If You: Are a great teammate who is willing to take on a variety of tasks to ensure the success of the team. Have a consistent track record for empirical research, answering complex questions with data. Have experience working in complex technical environments, improving research velocity. Possess a flexible analytic approach that allows for results at varying levels of precision. Have familiarity with relational databases, SQL, and large-scale data systems such as Apache Spark.