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Senior Machine Learning Engineer - Infra/Ops - Fraud

New York City Office💼 Full-time🗓 2026-09-12 → 2026-09-25

Core

Build and scale high-performance feature computation and online inference pipelines for production machine learning systems that power fraud detection.

Role type

Senior Machine Learning Engineer (Infra/Ops)

Builds

Scalable, reliable ML systems for fraud detection using Plaid's financial network data

Domain

Financial technology / Fraud detection

Deliverable

production ML models

Required skills

Python, ML infrastructure, production deployment, monitoring, reliability engineering, PyTorch, Spark, SageMaker, Airflow

Preferred skills

Fraud or risk domain experience, Graph machine learning

Responsibilities

Build and scale ML systems for fraud detection; Solve complex technical challenges at the intersection of ML, data infrastructure, and production reliability; Develop foundational ML capabilities leveraging financial network data; Collaborate with engineers, data scientists, and cross-functional partners

Seniority

Senior, hands-on IC

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