Staff Machine Learning Engineer, Plaid
Credit
$252-400k
1-5 days a week in office
Infrastructure and APIs for FinTech
Open for applications
Infrastructure and APIs for FinTech
1001+ employees
Open for applications
$252-400k
1-5 days a week in office
1001+ employees
Company mission
Plaid's mission is to unlock financial freedom for everyone.
Role
Who you are
- We’re looking for Machine Learning Engineers who are passionate about applying advanced modeling and machine learning techniques—such as natural language processing, anomaly detection, optimization, and time series forecasting—to create meaningful product impact
- 8+ years of experience developing, training, and deploying ML models in production environments
- Proven experience building and maintaining data-intensive backend applications within large, distributed systems
- Strong programming skills in Python and familiarity with tools such as Spark, Jupyter, and standard ML libraries
- Background in fintech or other data-rich, regulated domains
- Demonstrated ability to take ownership and drive projects from concept to measurable business impact
- Solid understanding of data engineering and analytics concepts
- Skilled at collaborating across technical and non-technical teams
- Master’s degree (or equivalent experience) in Computer Science, Mathematics, Engineering, or a related field
- Nice to Have: Hands-on experience with data engineering or analytics tooling
- Nice to Have: Experience applying NLP techniques in production systems
- If you are passionate about advancing state-of-the-art ML to empower financial freedom for all, we encourage you to apply
What the job involves
- At Plaid, our Data team builds the intelligent systems that help millions of people better understand and improve their financial lives
- We’re looking for Machine Learning Engineers who are passionate about applying advanced modeling and machine learning techniques—such as natural language processing, anomaly detection, optimization, and time series forecasting—to create meaningful product impact
- As a Machine Learning Engineer within Plaid's Data organization, you will be responsible for designing, building, and scaling machine learning solutions that drive core product experiences
- You will take the lead on initiatives to experiment with innovative modeling approaches, deploy production-ready systems, and work closely with engineers and data scientists to translate raw data into valuable insights
- If you are passionate about advancing state-of-the-art ML to empower financial freedom for all, we encourage you to apply
- 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
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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