Research Scientist Job in Adobe

Job Summary

Responsibilities

• Develop and lead research initiatives in areas such as Natural Language Processing, Computational Social Science, 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, 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, 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.

• PhD degree or equivalent experience in industrial research in Computer Science, Statistics, Economics, or other relevant technical fields.

• Ability to take research risks and solve hard problems independently.

• 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.

Qualification :
PhD degree or equivalent experience in industrial research in Computer Science, Statistics, Economics, or other relevant technical fields.