Machine Learning Engineer, Plaid
Fraud Data
$202.8-279.6k
Infrastructure and APIs for FinTech
Job no longer available
Infrastructure and APIs for FinTech
1001+ employees
Job no longer available
$202.8-279.6k
1001+ employees
Company mission
Plaid's mission is to unlock financial freedom for everyone.
Role
Who you are
- 3-5 years total experience, with at least 2 years of hands-on work in ML systems, modeling, or data engineering
- Proven experience building and deploying end-to-end machine learning system
- Strong foundation in Python and core ML principles
- Demonstrated curiosity and adaptability — comfortable working across both modeling and infrastructure
- Nice to have - experience in fraud detection, risk modeling, or related domains
- Nice to have - familiarity with large language models (LLMs) or generative AI frameworks
What the job involves
- We’re the Data team within Plaid’s Fraud organization, and we’re on a mission to stop fraud before it happens
- Our team builds the machine learning systems that power Plaid’s most advanced fraud detection products, harnessing the scale and richness of Plaid’s network data to protect consumers and businesses alike
- We own the full ML lifecycle — from feature pipelines and model training to deployment and monitoring — ensuring our systems are reliable, scalable, and ready to support hundreds of customers as Plaid continues to grow
- As a Machine Learning Engineer on Plaid’s Fraud Data team, you’ll play a key role in shaping the future of fraud prevention
- You’ll develop new features and machine learning models that enhance the accuracy and effectiveness of our fraud detection systems, while building reliable data and model pipelines to power both experimentation and production workflows
- Working closely with data science, infrastructure, and product teams, you’ll help design and deliver scalable, high-quality ML systems that protect Plaid’s customers at scale
- You’ll also have the opportunity to explore and prototype GenAI-driven capabilities that push the boundaries of our fraud modeling and investigation tools
- ***We are open to remote candidates for this role***
- Build and deploy end-to-end ML solutions — from feature engineering to production deployment
- Scale and optimize machine learning systems in a real-world, high-traffic environment
- Explore and apply cutting-edge LLMs and generative AI to strengthen fraud prevention and investigation
- Grow your career in a fast-paced, collaborative environment
Our take
Plaid builds infrastructure that allows a consumer to interact with their bank account on the web through a number of third-party applications, like Venmo, Robinhood, Coinbase, Acorns and LendingClub.
Plaid has integrated with 12,000 financial institutions in the US, Canada, the UK and Europe. About a quarter of people living in North America with bank accounts have linked with Plaid through at least one of the hundreds of apps that leverage Plaid’s application program interfaces (APIs). The platform allows companies to create financial services applications without having to hire their own team of engineers to build out a tool that connects apps to its users’ bank accounts.
This is very valuable in a world where there are increasing number of fintechs, so the demand for Plaid's services are only going to grow. Despite its strong position, it has not been immune to the difficult global economic situtation and was forced to restructure at the end of 2022, laying off some of its workforce. However it is still experiencing growth and is well-positioned to weather the current economic uncertainty.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 6 rounds)
Apr 2025
$575m
LATE VC
Apr 2021
$425m
SERIES D
Total funding: $1.3bn
Company benefits
- Monthly wellness stipend (gym on us)
- We offer breakfast, lunch, and dinner to keep you well-fed and healthy (when working from the office)
- From medical, life, dental and pension schemes, we’re here to support your physical, mental, and financial wellbeing
- We want everyone to feel ownership over their work - literally, which is why we offer equity to full-time Plaids
- Every Plaid is in control of their career development with our learning stipends, tools, and trainings
- We give Plaids the freedom and flexibility to choose where they work - whether that is in a Plaid office, at home in any supported location, or a mix of both!
- Two weeks of synchronous, company-wide vacation
- We want to make sure you have time to meet your personal needs with unlimited PTO
Company HQ
SoMa, San Francisco, CA
Leadership
Zach Perret
(CEO)He was a Consultant at Bain and previously a Research Fellow and Trustee at Duke before co-founding Plaid
William Hockey
(Board Director)He was previously an associate at Bain and has since moved on from Plaid to become Co-CEO at Column
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