Staff ML Engineer — Open Banking Data at Scale

Stripe; Seattle (WA); Hybrid; USD 254,000 - 380,000; Full time

Job summary

Stripe's Financial Connections team is seeking machine learning engineers to design, train, and deploy intelligent systems that provide financial data at scale. You will build production ML models that improve transaction categorization, risk scoring, and data enrichment across Stripe's ecosystem.

You'll collaborate with product, data science, and engineering partners across the company, work on large-scale data from thousands of institutions, and mentor peers while advancing fintech ML

Qualifications

• 10+ years of industry experience building and shipping ML systems in production.

Responsibilities

• Design, train, deploy and own ML models in production that improve data quality and scoring across Financial Connections

Skills

Collaboration

Autonomy

Leadership

Education

MS or PhD in ML/AI or related field

Tools

PyTorch

TensorFlow

XGBoost

Spark

Job description

Stripe's Financial Connections team is seeking machine learning engineers to design, train, and deploy intelligent systems that provide financial data at scale. You will build production ML models that improve transaction categorization, risk scoring, and data enrichment across Stripe's ecosystem.

You'll collaborate with product, data science, and engineering partners across the company, work on large-scale data from thousands of institutions, and mentor peers while advancing fintech ML