5 hours ago
Base Salary
$229k - $315k/yr
Responsibilities
- Build and scale machine learning systems supporting a growing fraud detection product.
- Develop high-performance feature computation and online inference pipelines for production ML systems.
- Build observability, monitoring, reliability, and automated debugging capabilities.
- Develop foundational ML capabilities using Plaid’s financial network data to detect and prevent fraud.
- Solve technical challenges spanning machine learning, data infrastructure, and production reliability.
- Own and deliver complex end-to-end machine learning engineering projects.
- Collaborate with engineers, data scientists, ML Infrastructure, Product, and other cross-functional partners.
Requirements
- 6+ years of relevant experience focused 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 and experience with PyTorch, Spark, SageMaker, and Airflow.
- Experience in fraud or risk domains is preferred.
- Experience in graph machine learning is preferred.
Benefits
- Comprehensive medical, dental, vision, and 401(k) benefit plan.
- Equity and/or commission may be provided as additional compensation depending on the position.
- Pay and benefits are subject to change according to applicable compensation or benefit plans.
Tech Stack
Categories
About Plaid
Plaid builds APIs and SDKs that let developers and financial institutions connect consumer bank and investment accounts, verify ownership, retrieve transactions, assess income/liabilities, fight fraud, and move money (e.g., ACH/transfer). It sells usage-based access to products like Link, Auth, Transactions, Identity, Income, Liabilities, and Payments. Founded in 2013 and headquartered in San Francisco, Plaid’s network spans 12,000+ financial institutions across the US, Canada, the UK, and Europe, with customers including Venmo, SoFi, and Betterment.