Design and develop scalable machine learning infrastructure to support Plaid’s fraud detection products
Build and maintain reliable systems that handle large volumes of financial data efficiently
Solve complex challenges at the intersection of machine learning systems, data engineering, and system reliability
Contribute to the foundation of fraud detection on one of the largest financial datasets in the world
Collaborate with talented engineers, data scientists, and product teams to deliver high-quality solutions
Lead efforts to improve model deployment, monitoring, and observability frameworks
Mentor junior engineers and foster a culture of technical excellence and continuous learning
Help shape the technical strategy and long-term vision of the Fraud Data team
Requirements
8+ years of total professional experience in software engineering or related fields
At least 5 years of experience building and deploying production machine learning systems
Proven expertise in machine learning infrastructure and operations
Strong technical leadership and architectural vision, with a track record of driving systems from concept to production
Proficiency in Python, PyTorch, Spark, SageMaker, Airflow, or equivalent technologies
Experience working with large-scale data systems and distributed computing
Additional Instructions
Design and develop scalable machine learning infrastructure to support Plaid’s fraud detection products
Build and maintain reliable systems that handle large volumes of financial data efficiently
Solve complex challenges at the intersection of machine learning systems, data engineering, and system reliability
Contribute to the foundation of fraud detection on one of the largest financial datasets in the world
Collaborate with talented engineers, data scientists, and product teams to deliver high-quality solutions
Lead efforts to improve model deployment, monitoring, and observability frameworks
Mentor junior engineers and foster a culture of technical excellence and continuous learning
Help shape the technical strategy and long-term vision of the Fraud Data team
Perks and Benefits
Competitive annual salary ranging from $192,000 to $400,000, depending on location and experience
Comprehensive health, dental, and vision insurance plans
Flexible work environment with remote work options
Generous paid time off and holiday leave
Professional development programs and opportunities for growth
Inclusive and diverse workplace culture
Employee wellness programs and support resources
