Full-Time

Software Engineer

Payments Risk

Updated on 5/17/2024

Plaid

Plaid

1,001-5,000 employees

Secure financial data connectivity platform

Data & Analytics
Financial Services

Mid

San Francisco, CA, USA

Requirements
  • 2+ years of software engineering experience
  • End-to-end process ownership and customer obsession
  • Experience in building production infrastructure for machine learning feature engineering or model training, evaluation, and deployment
Responsibilities
  • Work closely with a cross-functional team to understand product requirements and legal constraints to build next-generation bank payment risk products
  • Build products with real impact for end-users, applications in FinTech, and financial institutions
  • Develop highly available, reliable, and low-latency systems
  • Develop tools and infrastructure for quick iteration on machine learning features and models
  • Passionate about applying Machine Learning to real-world problems, especially financial fraud

Plaid is a data network that enables secure connections between users' financial accounts and various apps, with a network covering over 12,000 financial institutions. The company's technologies provide seamless user experiences and accessible financial solutions for developers, empowering over 7,000 apps and services.

Company Stage

Series D

Total Funding

$739M

Headquarters

San Francisco, California

Founded

2013

Growth & Insights
Headcount

6 month growth

5%

1 year growth

4%

2 year growth

1%

Benefits

We've got you covered: From medical, life, and 401ks, we’re here to support your physical, mental, and financial wellbeing.

Everyone is an owner: We want everyone to feel ownership over their work - literally, which is why we offer equity to full-time Plaids.

Vacation your way: We want to make sure you have time to meet your personal needs with unlimited PTO and two weeks of synchronous, company-wide vacation.

Grow your skills: Every Plaid is in control of their career development with our learning stipends, tools, and trainings.