Job Description

Develop and lead research initiatives in areas of Computer Vision, Machine Learning and Natural Language Processing. Design, implement, and optimize computer vision algorithms to tackle real-world problems in content understanding and generation for improving marketing performance. Collaborate with product teams to turn research advances into impactful products. Develop scalable synthetic data generation and evaluation techniques. 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: Computer Vision, Multimodal Content Understanding with Large Language Models and Agentic Workflows,. Multiple publications in top-tier conferences such as CVPR, ICLR, NeurIPS, ICCV, ECCV, ICML, ACL, EMNLP, KDD, etc. 4+ years of experience in computer vision research and product development PhD, MSc, or equivalent experience in Computer Science, Electrical Engineering, Robotics, or a related field. 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. 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.