Research Scientist

Adobe Adobe · Enterprise · Noida, India

Research Scientist at Adobe's Media and Data Science Research (MDSR) Laboratory, focusing on NLP, Computational Social Science, and ML to develop innovative solutions for future digital experiences. The role involves transforming research into products, building evaluations, generating synthetic data, and integrating ML models into Adobe's platforms. Requires a PhD and production deployment experience, with publications in top conferences.

What you'd actually do

  1. Develop and guide research projects in fields like Natural Language Processing, Computational Social Science, and Machine Learning.
  2. Work together with product teams to transform research developments into meaningful products.
  3. Build challenging evaluations related to creative intelligence and marketing performance.
  4. Develop scalable synthetic data generation and evaluation techniques.
  5. Manipulate and analyze complex, high-volume, high-dimensionality data from diverse sources.

Skills

Required

  • PhD degree and 3 years of experience, or six years of experience, in applied 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 leading conferences such as ICLR, NeurIPS, ICML, PNAS, Nature, Science, ACL, EMNLP, CHI, WWW, KDD, CVPR, etc.
  • Demonstrated experience in one or more of the following fields: Large Language Models, Natural Language Processing, Computational Social Science, Behavioral Sciences, Agentic Workflows, Social Network Analysis, Causal Inference, Recommendation Systems, Multimodal Content Understanding.

Nice to have

  • 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 possess clear communication skills.
  • Have experience designing high-quality research experiments and assessments with quick cycles.
  • Have experience working in complex technical environments, improving research velocity.
  • Possess a flexible analytic approach that allows for results at varying levels of precision.

What the JD emphasized

  • track record of deploying solutions in production environments
  • Multiple publications in leading conferences such as ICLR, NeurIPS, ICML, PNAS, Nature, Science, ACL, EMNLP, CHI, WWW, KDD, CVPR, etc.
  • Demonstrated experience in one or more of the following fields: Large Language Models, Natural Language Processing, Computational Social Science, Behavioral Sciences, Agentic Workflows, Social Network Analysis, Causal Inference, Recommendation Systems, Multimodal Content Understanding.
  • proven track record and an impulse for empirical research

Other signals

  • Develop and guide research projects in fields like Natural Language Processing, Computational Social Science, and Machine Learning.
  • Work together with product teams to transform research developments into meaningful products.
  • Build challenging evaluations related to creative intelligence and marketing performance.
  • Develop scalable synthetic data generation and evaluation techniques.
  • Integrate core machine learning models into the Adobe Experience Manager and Adobe Experience Platform.