Senior Machine Learning Engineer Research Scientist - Fraud
Plaid is a financial data network and fintech infrastructure company that helps people securely connect financial accounts to digital financial services.
Maintainer signals as of 9/2/2026
Funding history
Projects
About Plaid Inc.
Plaid provides developer infrastructure and financial tools for account connectivity, financial data access, bank payments, identity verification, AML monitoring, credit and underwriting, and fraud prevention. Its network supports thousands of fintech companies and more than 12,000 financial institutions across the United States, Canada, the United Kingdom, and Europe.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will lead applied research for fraud detection models across graphs, sequential events, images, and video. You will prototype modeling approaches, design rigorous evaluations, translate research into production-ready solutions, and communicate research findings.
Requirements
- PhD in a related quantitative field or equivalent research experience.
- 2–4+ years of relevant industry or research lab experience.
- Research leadership and a record of translating research into measurable impact.
- Scientific rigor and strong written and verbal communication.
- Python proficiency.
- Experience building research prototypes that can inform or transition to production systems.
Responsibilities
- Research and prototype graph, sequential, and multimodal machine learning approaches.
- Execute a research roadmap from prototypes to production solutions.
- Publish and share applied research.
- Use financial network data to develop fraud detection solutions.
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k)