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Tier-1 employer, metro location, and mid-level role increase candidate competition.
Role requires deep ML research experience and publications, making cross-industry transferability limited.
Explicit PhD/or six years requirement and publication/production track record make filters very strict.
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Lead research initiatives in Natural Language Processing, Computational Social Science, and Machine Learning to develop innovative solutions impacting digital customer experiences.
Collaborate with product, design, and engineering teams to integrate machine learning models into production platforms like Adobe Experience Manager and Adobe Experience Platform.
Design and conduct large-scale experiments and evaluations focusing on creative intelligence and marketing performance, analyzing complex and high-dimensional data.
PhD plus 3 years experience or 6 years industrial research experience in Computer Science, Statistics, Economics, or related technical fields.
Hands-on experience deploying solutions in production environments.
Multiple publications in top-tier conferences (e.g., ICLR, NeurIPS, ICML, ACL, KDD, CVPR).
Expertise in areas such as 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 to answer complex questions with data.
Capable of independently solving hard research problems and leading ambitious projects with clear communication.
Familiar with designing iterative research experiments and evaluations, and comfortable working in complex technical environments focused on research velocity and production integration.