Job Description

Develop and lead research initiatives in areas such as Natural Language Processing, Computational Social Science, Computer Vision, 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 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. Multiple publications in top-tier conferences such as ICLR, NeurIPS, ICML, PNAS, Nature, Science, ACL, EMNLP, CHI, WWW, KDD, ICCV, ECCV, CVPR, etc. 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. BTech (for research associates) or PhD degree or equivalent experience (for research scientists) in industrial research in Computer Science, Statistics, Economics, or other relevant technical fields. For senior positions, a minimum of seven years of post-PhD experience is required. You Will Thrive In This Role If You: 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 possess clear communication skills. Have familiarity with crafting quality research experiments and evaluations with rapid iterations. 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 and SQL. Bonus: Experience with large-scale data systems such as Beam or Spark.