Senior Machine Learning Engineer - Infra/Ops - 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 develop high-performance feature computation and online inference pipelines for production machine learning systems. You will build monitoring, observability, and automated debugging capabilities, improve reliability, and deliver scalable fraud detection solutions.
Requirements
- 6+ years of relevant experience building, deploying, and scaling production machine learning systems.
- Experience with ML infrastructure and operations, including deployment, monitoring, and reliability.
- Ability to independently deliver end-to-end machine learning engineering projects.
- Python proficiency.
- Experience with PyTorch, Spark, SageMaker, and Airflow.
Responsibilities
- Build and scale machine learning systems for fraud detection.
- Solve machine learning, data infrastructure, and production reliability challenges.
- Develop foundational machine learning capabilities for fraud detection.
- Collaborate with engineering, data science, and cross-functional partners.
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k)
