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Tier-1 brand and metro location increase applicants, but heavy research specialization limits the pool.
Deep ML research, publication record, and LLM deployment requirements make cross-industry transfers difficult.
Requires PhD/publications or 6+ years and production ML experience, making filters stringent.
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Lead research initiatives in NLP, Computational Social Science, and Machine Learning targeting advancements in digital customer experiences.
Develop, prototype, and integrate scalable ML models and synthetic data generation techniques into Adobe Experience Manager and Experience Platform products.
Collaborate with cross-functional teams to design evaluations, analyze high-dimensional data, and translate research insights into production-ready solutions impacting millions of users.
PhD plus 3 years or 6 years equivalent experience in industrial research in Computer Science, Statistics, Economics, or related technical fields.
Proven track record of deploying machine learning solutions in production environments.
Multiple publications in top-tier conferences/journals such as ICLR, NeurIPS, ICML, ACL, EMNLP, or equivalents.
Expertise in Large Language Models, NLP, Computational Social Science, Behavioral Sciences, Social Network Analysis, Causal Inference, Recommendation Systems, or Multimodal Content Understanding.
Experienced in deriving actionable insights from large, complex datasets and conducting empirical research with rapid experimental iterations.
Capable of independently leading ambitious research projects and communicating findings clearly within cross-disciplinary teams.
Comfortable working in fast-paced, complex technical ecosystems focused on transitioning research prototypes into scalable production products.