Senior Machine Learning Engineer, Infra/Ops - Fraud

Plaid

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: New York, NYSeattleSan Francisco, CA
Salary: $228,960–$315,360 / yr
Posted: 49 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $228k

This role $272k

$168k $331k

below market most similar roles pay here above market

This role pays more than 87% of similar roles. Most pay $200,550–$254,750 — the blue band above. At the midpoint, this role pays about $272k versus about $228k 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 71 open roles on FindRole.

Listed pay typically runs $190,800–$262,800 across 71 roles with salary data.

Most-posted roles

View all roles at Plaid

At a glance

TL;DR · Senior Machine Learning Engineer, Infra/Ops - Fraud

Role Posting Log in to save

The Senior Machine Learning Engineer - Infra/Ops - Fraud joins the Data team within the Fraud organization to build machine learning systems that power fraud detection products. This role involves owning the development of high-performance feature computation and online inference pipelines for production systems at scale. Key responsibilities include building robust observability, monitoring, and automated debugging capabilities while leveraging AI-assisted tools to maintain high reliability. The engineer will partner with ML Infrastructure, Data Science, and Product teams to solve complex technical challenges at the intersection of machine learning and data infrastructure. Required technical skills include proficiency with Python and experience with PyTorch, Spark, SageMaker, and Airflow. The work focuses on leveraging extensive financial network data to detect and prevent fraud before it happens.

What does a Machine Learning Engineer earn in New York?

Median $231150 from 51 postings across 20 companies.

See salary data

Skills

Python PyTorch Spark SageMaker Airflow Machine Learning Graph Machine Learning Data Infrastructure Monitoring Observability Production Deployment

What you'll do

Build and scale machine learning systems to power fraud detection products.
Develop high-performance feature computation and online inference pipelines at scale.
Build robust observability, monitoring, and automated debugging capabilities for production systems.
Develop foundational ML capabilities using financial network data to prevent fraud.
Own the full ML lifecycle from feature pipelines and model training to production serving.
Use AI-assisted tools to investigate complex system behavior and maintain high reliability.
Execute critical technical initiatives in partnership with ML Infrastructure and Data Science teams.

What we're looking for

6+ years of relevant experience 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.
Experience with ML and data technologies such as PyTorch, Spark, SageMaker, and Airflow.
Experience in fraud or risk domains (preferred).
Experience in Graph machine learning (preferred).

Similar roles

Senior Machine Learning Engineer, Fraud

Plaid

San Francisco, CA +2 49 days ago $228,960–$315,360

Machine Learning Python SQL PyTorch scikit-learn XGBoost Neural Networks Gradient-Boosted Trees LLMs Generative AI Transformers Feature Engineering Model Deployment Experiment Design Graph-based Systems

7+ yrs exp

Save

Senior Machine Learning Engineer (Research Scientist), Fraud

Plaid

New York, NY +2 49 days ago $228,960–$315,360

Python Machine Learning Graph Neural Networks Graph Machine Learning Sequential Modeling Multimodal Learning Data Processing Model Serving Feature Pipelines Fraud Detection Large-scale Training Graph Systems

2+ yrs exp

Save

Senior Machine Learning Engineer, Trust

Airbnb

Remote (San Francisco, CA) 37 days ago $200,000–$227,000

Python Machine Learning TensorFlow PyTorch LLMs GenAI Scala Java Deep Learning Transformers Gradient Boosted Trees A/B Testing Feature Engineering Data Engineering APIs Test-Driven Development

5+ yrs exp Remote

Save

Senior Machine Learning Engineer, Trust

Airbnb

Remote (San Francisco, CA) 78 days ago $200,000–$227,000

Python LLMs GenAI PyTorch TensorFlow Machine Learning Deep Learning Transformers Neural Networks Scala Java Data Engineering ML Pipelines A/B Testing APIs Test-Driven Development Real-time Systems

5+ yrs exp Remote

Save

Senior Machine Learning Engineer

Capital One Financial

McLean, VA +3 50 days ago

Python Scala Java PyTorch TensorFlow Spark scikit-learn Dask AWS Azure Google Cloud Platform Distributed Computing Data Pipelines Agile Machine Learning Explainable AI

Save

Senior AI / Machine Learning Engineer, Fraud Prevention

Adobe

San Jose, CA +5 24 days ago $151,800–$265,350

Machine Learning Python SQL PyTorch LLMs AI Agents Anomaly Detection Feature Engineering Distributed Systems Data Pipelines Real-time Decisioning Data Infrastructure

8+ yrs exp Hybrid

Save