Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Adobe brand, mid-level (3–6 years) expectation, and metro location increase candidate density.
Strong research pedigree and publication requirements make the role highly domain-specific and less transferable.
Strict filters: PhD or 6 years, top-tier publications, production deployment experience, and niche ML expertise.
Lead and develop research initiatives in NLP, Computational Social Science, and Machine Learning focusing on applications in digital customer experiences and marketing.
Design and conduct experiments using large, complex datasets including synthetic data generation techniques, with responsibility to move research into production through collaboration with product and engineering teams.
Integrate machine learning models into Adobe Experience Manager and Adobe Experience Platform to enhance digital experience products at scale.
PhD plus 3 years or 6 years of industrial research experience in Computer Science, Statistics, Economics, or closely related technical fields.
Proven experience deploying ML or research solutions in production environments.
Multiple publications in top-tier conferences or journals (examples include ICLR, NeurIPS, ICML, PNAS, Nature, Science, ACL, EMNLP, CHI, WWW, KDD, CVPR).
Expertise in at least one of the following: Large Language Models, Natural Language Processing, Computational Social Science, Behavioral Sciences, Agentic Workflows, Social Network Analysis, Causal Inference, Recommendation Systems, or Multimodal Content Understanding.
Demonstrates ability to derive actionable insights from large datasets and solve difficult research problems independently.
Experienced in leading ambitious, empirical research projects with strong communication to connect research outputs with product delivery.
Comfortable in rapid iteration research environments with a flexible analytical approach and experience working in complex technical settings.