Senior AI / Machine Learning Engineer, Fraud Detection
Adobe
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How this pay compares to similar roles
This role pays less than 55% of similar roles. Most pay $164,643–$246,150 — the shaded band above. At the midpoint, this role pays about $200k versus about $205k for comparable roles.
Based on 240 similar postings.
Employer
Adobe Inc. is a global software company known for creative and multimedia software products including Photoshop, Illustrator, Acrobat, and its cloud-based Creative Cloud and Document Cloud suites. Industry: Creative & Digital Experience Software
Adobe currently has 211 open roles on FindRole.
Listed pay typically runs $183,300–$265,350 across 209 roles with salary data.
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At a glance
Senior Data Scientist, ML— Fraud Detection & Effectiveness joins the team to build fraud and abuse detection models while measuring their effectiveness through experimentation and analytics. This role involves developing robust evaluation frameworks, defining ground truth and labeling approaches, and analyzing model drift and emerging fraud patterns. The candidate will design experiments to evaluate trade-offs between precision, recall, and customer impact while building dashboards to translate performance into business insights. Key technical requirements include proficiency in Python, SQL, and large dataset management, alongside expertise in statistical methods, classical machine learning, and anomaly detection. The role addresses the critical problem of identifying fraudulent activity within adversarial domains. Preferred skills include experience with weak supervision, active learning, and LLMs for evaluation to improve automated decisioning systems and multi-layered risk controls across the fraud lifecycle.
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