Research Associate/Scientist

Responsibilities-

• 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.