Research Scientist applied research

Noida April 11, 2026 Full Time Phenom
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
  • Develop and lead research initiatives in areas such as 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 other products.
  • 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, Large Language Models, Natural Language Processing, Multimodal Content Understanding, Agentic Workflows.
  • Multiple publications in top-tier conferences such as CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, KDD, WWW, PNAS, Nature, Science, or related top conferences/journals.
  • Hands-on experience and a track record of deploying solutions in production environments.
  • Ability to derive actionable insights from large-scale visual and multimodal datasets.
  • Ability to take research risks and solve hard problems independently.
  • PhD degree or equivalent experience in industrial research in Computer Science, Statistics, Economics, or other relevant technical fields.
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