Experienced Machine Learning Engineer



1,001-5,000 employees

Developer of fintech infrastructure & APIs

Data & Analytics
Financial Services

Junior, Mid, Senior

Remote in USA

Required Skills
Data Structures & Algorithms
Apache Spark
Apache Hive
Data Analysis
  • Proficiency in machine learning algorithms and solid understanding of mathematics and statistics.
  • Experience in developing end to end data systems/products and productionizing AI/ML models.
  • Experience in well-known big data processing infrastructures like Spark, Airflow, DBT, Hive, Presto, etc.
  • Ability to architect software and ML systems at scale.
  • Solid software engineer skill in complex and multi-language systems. Code fluency in Python.
  • Experience in working with product, design, and backend engineering.
  • Hands-on develop, productionize, and operate Machine Learning models and pipelines to improve a diverse range of Plaid products.
  • Continuously proposing and developing new features to improve the AI/ML model performance.
  • Working with the ML infrastructure team to improve ML infrastructure that powers the end-to-end ML development lifecycle.
  • Debugging ML production issues and ensuring stable model serving.
  • Work collaboratively with cross-functional partners to identify opportunities for business impact, understand, refine, and prioritize requirements for AI/ML models, drive engineering decisions, and quantify impact.

Plaid is focused on democratizing financial services through technology. They build beautiful consumer experiences, developer-friendly infrastructure, and intelligent tools that give everyone the ability to create amazing products that solve big problems.

Company Stage

Series D

Total Funding



San Francisco, California



Growth & Insights

6 month growth


1 year growth


2 year growth



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.