Applied Scientist 4

Our Company 

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 Customer Experience Orchestration (CXO) business unit. This role provides an outstanding opportunity to engage in world-class research that will craft the future of digital experiences. As part of our ambitious research team, you will tackle cutting-edge research challenges and develop innovative solutions that transform how businesses operate, engage with customers, market their products, and create impactful advertising experiences. You will have the unique opportunity to see your research evolve into products used by millions of users while also publishing your work at top-tier conferences and journals. Our research and products power the digital experiences of 1,900 of the Fortune 2,000 companies, giving your work the opportunity to create impact at an unparalleled global scale. 
 

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. 

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, and high-dimensional 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 insights from large datasets. 

• Ability to take research risks and solve hard problems independently. 

• Are a great teammate who is willing to take on a variety of tasks to contribute to the success of the team 

• Have a proven track record and an impulse for empirical research, answering complex questions with data. 

• Are capable of leading ambitious projects and possessing clear communication skills. 

• Have familiarity with crafting quality research experiments and evaluations with rapid iterations. 

• Have experience working in complex technical environments and improving research velocity. 

• Possess a flexible analytic approach that allows for results at varying levels of precision.