Responsibilities

• Design, implement, and optimize ML algorithms to address real-world problems in understanding user behavior and generating content to improve marketing performance.

• Develop scalable synthetic data generation and evaluation techniques.

• Manipulate and analyze complex, high-volume, high-dimensionality data from diverse sources.

• 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, Computer Vision, Natural Language Processing, Computational Social Science, Behavioral Sciences, Agentic Workflows, Social Network Analysis, Causal Inference, Recommendation Systems, Multimodal Content Understanding.

• Quality research work published in top conferences.

• 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.

• PhD degree or an equivalent experience (for BTech) in industrial research in Computer Science, Statistics, Economics, or other relevant technical fields.

You Will Thrive In This Role If You:

• Are a great teammate who is willing to take on a variety of tasks to ensure the success of the team.

• Have a consistent track record for empirical research, answering complex questions with data.

• 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, SQL, and large-scale data systems such as Apache Spark.