This role pays more than
90%
of similar roles. Most pay
$195,562–$254,750
— the shaded band above.
At the midpoint, this role pays about
$272k
versus about
$225k
for comparable roles.
Based on 240 similar postings.
Employer
About Plaid
Plaid is a financial technology company that builds a data network powering digital finance applications, enabling consumers to securely connect their financial accounts to apps and services. Industry: Financial Technology & Data Infrastructure
Plaid currently has
41 open roles
on FindRole.
Listed pay typically runs
$201,600–$272,400
across 41 roles with salary data.
As a Senior Machine Learning Engineer - Infra/Ops - Fraud on the Data team within the Fraud organization, you will develop high-performance feature computation and online inference pipelines that power production machine learning systems at scale. You will build robust observability, monitoring, and automated debugging capabilities while utilizing AI-assisted tools to maintain system reliability. Your daily work involves solving complex technical challenges at the intersection of machine learning, data infrastructure, and production reliability to detect and prevent fraud using extensive financial network data. The role requires proficiency in Python along with experience in PyTorch, Spark, SageMaker, and Airflow. You will collaborate with ML Infrastructure, Data Science, and Product teams to deliver scalable solutions. Experience in the fraud or risk domains and graph machine learning are also considered valuable assets for this position.
What does a Machine Learning Engineer earn in New York?
Median $216000 from 47 postings across 14 companies.