Staff Machine Learning Engineer - Fraud Data
$192k/y-$400k/y
2 days ago
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RemoteFull-timeSenior
Summary
Plaid is seeking a Staff Machine Learning Engineer - Fraud Data to join their team in Seattle, WA. The role involves designing and building scalable ML infrastructure for Plaid's fraud detection product.
About the Role
As a Staff Machine Learning Engineer on Plaid's Fraud Data team, you will lead the evolution of model deployment, monitoring, and observability frameworks to ensure high reliability and performance at scale. You will collaborate with teams across ML Infrastructure, Product, and Engineering to deliver robust systems that protect users and customers from fraud, while mentoring other engineers and shaping the long-term technical vision of the team.
About You
Required:
- 8+ years total experience, with at least 5 years building and deploying production ML systems.
- Proven experience in machine learning infrastructure/operations.
- Demonstrated technical leadership and architectural vision, driving systems from concept to production.
- Proficiency in Python, PyTorch, Spark, SageMaker, and Airflow, or equivalent technologies.
Preferred:
- Experience working in fraud detection, risk modeling, or financial security domains.
- Background in graph machine learning or related techniques.
Benefits
- Competitive salary ranging from $192k–$400k based on location and experience.
- Open to remote candidates.
Plaid
Plaid is a data network that powers the tools millions of people rely on to live a healthier financial life. Plaid works with thousands of companies like Venmo, SoFi, and Betterment, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers more than 12,000 financial institutions across the US, Canada, UK and Europe. Headquartered in San Francisco, the company was founded in 2013 by Zach Perret and William Hockey.
Seattle, WA