Jobrow
Saved 0Closed

Index / Plaid

Senior Machine Learning Engineer - Infra/Ops - Fraud

Plaid

Senior Machine Learning Engineer - Infra/Ops - Fraud is a still-open role at Plaid on Jobrow. Location: Hybrid · New York City Office · New York · United States. Listed pay: $229k–$315k. Sourced from the company's public Ashby board. First seen 2 months ago; last confirmed 9 days ago. Apply on the employer ATS — Jobrow is not the employer.

Pay
$229k–$315k
Workplace
Hybrid
Location
New York City Office · New York · United States
First seen
2 months ago
Last seen
9 days ago
Board
Ashby
Apply

About this role

We believe that the way people interact with their finances will drastically improve in the next few years.

  • Function: Machine learning
  • Seniority: senior

Location & pay

Hybrid · New York City Office · New York · United States Listed pay on Jobrow: $229k–$315k.

Source

Jobrow reads the public Ashby board for Plaid. First seen 2 months ago; last seen 9 days ago. We are not the employer — apply only on the company ATS.

Posting

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, 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 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. The Data team within Plaid’s Fraud organization builds the machine learning systems that power Plaid’s fraud detection products, leveraging Plaid’s unique network data to identify and stop fraud before it happens. The team owns the full ML lifecycle—from feature pipelines and model training to production serving and monitoring—building reliable, scalable systems that deliver high-quality fraud detection as we grow to support hundreds of customers. As a Senior Machine Learning Engineer, you will own the development of high-performance feature computation and online inference pipelines that power production machine learning systems at scale. You’ll build robust observability, monitoring, and automated debugging capabilities, while leveraging AI-assisted tools to investigate complex system behavior and maintain high reliability. You’ll partner closely with ML Infrastructure, Data Science, and Product teams to execute critical technical initiatives and deliver scalable, high-impact ML solutions. Responsibilities: - Build and scale machine learning systems that power a rapidly growing fraud detection product in a fast-paced environment. - Solve complex technical challenges at the intersection of machine learning, data infrastructure, and production reliability. - Develop foundational ML capabilities that leverage Plaid’s extensive financial network data to detect and prevent fraud. - Collaborate closely with engineers, data scientists, and cross-functional partners across Plaid to deliver high-impact solutions. Qualifications: - 6+ years of relevant experience, with a strong focus on building, deploying, and scaling production machine learning systems. - Stron

Other open roles at Plaid

All open roles at Plaid