Plaid
Senior Machine Learning Engineer - Infra/Ops - Fraud
$229K–$315K
New York City Office +2 · Hybrid · Senior · Full-time · Posted Sep 12, 2026
- Location
- New York City Office
Seattle Office
San Francisco HQ - Experience
- 6+ years of relevant experience.
About the job
Build and operate scalable production machine learning infrastructure and online inference systems for Plaid’s fraud detection products.
What you'll do
- Develop high-performance feature computation and online inference pipelines, plus observability, monitoring, and automated debugging capabilities.
- Build and scale ML systems and foundational capabilities to detect and prevent fraud using Plaid’s financial network data.
- Partner with ML Infrastructure, Data Science, Product, and other teams to deliver reliable, high-impact ML solutions.
What they ask for
- Strong experience building, deploying, and scaling production machine learning systems.
- Strong experience with ML infrastructure and operations, including production deployment, monitoring, and reliability.
- Ability to independently own and deliver complex, end-to-end machine learning engineering projects.
- Proficiency with Python and experience with ML and data technologies such as PyTorch, Spark, SageMaker, and Airflow.
Nice to have
- Experience in fraud or risk domains.
- Experience in Graph machine learning.
Pay
$228,960 – $315,360 (base salary; currency not stated)
Tools
Python, PyTorch, Spark, SageMaker, Airflow
AI focus
Leverage AI-assisted tools to investigate complex system behavior and maintain high reliability.
Model-written summary · the original posting is authoritative