Senior Machine Learning Engineer - Infra/Ops - Fraud
$229k - $315k • Remote • New York City Office • FullTime
Posted 1mo ago
About the job
Plaid is seeking a Senior Machine Learning Engineer to join their Data team within the Fraud organization. This role will focus on building and scaling machine learning systems that power Plaid's fraud detection products, leveraging unique network data to identify and stop fraud. The team owns the full ML lifecycle, from feature pipelines and model training to production serving and monitoring, building reliable and scalable systems. As a Senior Machine Learning Engineer, you will own the development of high-performance feature computation and online inference pipelines, build robust observability and monitoring capabilities, and partner closely with ML Infrastructure, Data Science, and Product teams to deliver high-impact ML solutions.
Responsibilities
- Build and scale machine learning systems for a growing fraud detection product.
- Solve complex technical challenges at the intersection of machine learning, data infrastructure, and production reliability.
- Develop foundational ML capabilities to detect and prevent fraud using financial network data.
- Collaborate with engineers, data scientists, and cross-functional partners to deliver high-impact solutions.
Requirements
- 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.
Benefits
- Equity and/or commission
- Medical, dental, vision, and 401(k)