Responsibilities-
- Develop and lead research initiatives in areas such as Natural Language Processing, Computational Social Science, 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 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.
- Multiple publications in top-tier conferences such as ICLR, NeurIPS, ICML, PNAS, Nature, Science, ACL, EMNLP, CHI, WWW, KDD, ICCV, ECCV, 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.
- Ability to take research risks and solve hard problems independently.
- BTech (for research associates) or PhD degree or equivalent experience (for research scientists) in industrial research in Computer Science, Statistics, Economics, or other relevant technical fields.
- 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.
