Senior Machine Learning Engineer - Infra/Ops - Fraud

The role

You will own the development of high-performance feature computation and online inference pipelines for production machine learning systems. You will build machine learning systems to power fraud detection products and develop observability, monitoring, and automated debugging capabilities.

What you will do

• Build and scale machine learning systems that power a rapidly growing fraud detection product.
• Solve complex technical challenges at the intersection of machine learning, data infrastructure, and production reliability.
• Develop foundational ML capabilities that leverage Plaid's extensive financial network data to detect and prevent fraud.
• Collaborate closely with engineers, data scientists, and cross-functional partners across Plaid to deliver high-impact solutions.
• Own the development of high-performance feature computation and online inference pipelines.
• Build robust observability, monitoring, and automated debugging capabilities.
• Leverage AI-assisted tools to investigate complex system behavior and maintain high reliability.
• Partner with ML Infrastructure, Data Science, and Product teams to execute critical technical initiatives.

Required qualifications

• 6+ years of relevant experience, with a strong focus on building, deploying, and scaling production machine learning systems.
• Strong experience with ML infrastructure and operations, including production deployment, monitoring, and reliability.
• Proven ability to independently own and deliver complex, end-to-end machine learning engineering projects.
• Proficiency with Python.
• 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.

Benefits

• Medical
• Dental
• Vision
• 401(k)

About the company

Plaid powers the tools millions of people rely on to live a healthier financial life. The company works with thousands of companies to make it easy for people to connect their financial accounts to apps and services.