This role pays more than
87%
of similar roles. Most pay
$180,300–$254,750
— the shaded band above.
At the midpoint, this role pays about
$272k
versus about
$218k
for comparable roles.
Based on 240 similar postings.
Employer
About Plaid
Plaid is a financial technology company that builds a data network powering digital finance applications, enabling consumers to securely connect their financial accounts to apps and services. Industry: Financial Technology & Data Infrastructure
Plaid currently has
41 open roles
on FindRole.
Listed pay typically runs
$201,600–$272,400
across 41 roles with salary data.
Senior Machine Learning Engineer (Research Scientist) - Fraud joins the Fraud Data team to develop machine learning models that detect and prevent fraud while minimizing friction for legitimate users. In this research role, you will lead applied research to build next-generation detection models across relational graphs, sequential events, images, and video data. You will own a research roadmap, design rigorous experiments, and translate innovative prototypes into production-ready solutions. The work involves exploring state-of-the-art approaches including Graph Neural Networks and Transformer-based foundation models. Key responsibilities include prototyping multimodal learning, publishing findings, and collaborating with cross-functional teams to improve fraud detection across the network. Required skills include a PhD or equivalent research experience, scientific rigor, and proficiency in Python. The role focuses on solving complex security and risk problems using large-scale training and graph systems.
SQL
Python
AI
Graph Analysis
Anomaly Detection
Data Science
Rule Engines
BI Tools
Case Management Systems
Threat Modeling
Incident Response
Root Cause Analysis
Data Querying
Scripting
Automation