Senior Research Scientist

Adobe

3 - 12 years

50 - 55 Lacs

noida

Posted:5 hours ago| Platform:

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Skills Required

computer science social science spark network analysis machine learning product design natural language processing research adobe sql

Work Mode

Work from Office

Job Type

Full Time

Job Description

Join Adobe as a Research Scientist in Noidas MDSR Lab within the DX unit. Conduct innovative research to reshape digital experiences.

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.

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