Senior Machine Learning Engineer (Research Scientist) - Fraud
$229k - $315k • Remote • New York City Office • FullTime
Posted 1mo ago
Job Location
New York City Office
Tech Stack
Remote Work Policy
Fully remote
Employment Type
FullTime
Categories
Machine Learning Engineer
About the job
Plaid is seeking a Senior Research Scientist for its Fraud Data team. This role focuses on applied research to develop next-generation fraud detection models using advanced techniques like Graph Neural Networks and Transformer-based foundation models. You will partner closely with Machine Learning Engineers and Data Scientists to uncover new signals, explore innovative modeling approaches, and translate promising research into production-ready solutions that strengthen fraud detection across Plaid’s network. The team owns the full model lifecycle, from data processing and experimentation to feature pipelines, model serving, and monitoring. This position offers the opportunity to work with large-scale financial data and contribute to building tools that millions of people rely on for their financial health.
Responsibilities
- Research and prototype state-of-the-art approaches in graph machine learning, sequential modeling, and multimodal learning for fraud detection.
- Own and execute a research roadmap, translating innovative ideas and prototypes into production solutions with measurable impact.
- Publish and share applied research findings, collaborating with cross-functional teams.
- Leverage network-level financial data to develop solutions that help millions of consumers detect and prevent fraud.
Requirements
- PhD in Machine Learning, Artificial Intelligence, Computer Science, Statistics, Applied Mathematics, or a closely related field strongly preferred, or equivalent research experience.
- 2-4+ years of relevant industry or research lab experience, ideally post-PhD.
- Demonstrated research leadership and a track record of translating innovative research into measurable product or business impact.
- Strong scientific rigor, written, and verbal communication skills.
- Proficiency in Python and experience building high-quality research prototypes.
Benefits
- Equity and/or commission
- Medical, dental, and vision insurance
- 401(k)