Machine Learning Engineer, Plaid
Payment Risk/Fraud, Embedded Insights
$211.7-272.2k
1-5 days a week in office
Data network powering the tools millions of people rely on to live a healthier financial life
Be an early applicant
Data network powering the tools millions of people rely on to live a healthier financial life
1001+ employees
Be an early applicant
$211.7-272.2k
1-5 days a week in office
1001+ employees
Company mission
To unlock financial freedom for everyone.
Role
Who you are
- 2+ years of experience in machine learning, including deploying machine learning models into real-world, customer facing systems
- Payment risk, fraud or trust & safety experience
- High agency and creativity; experience identifying, defining, and proposing high impact machine learning opportunities
- Ability to analyze large and complex financial datasets to derive insights
- Advanced degree or equivalent work experience in Statistics, Economics, Mathematics, Data Science, or a related field
- Proficiency in SQL, Python, and data visualization/analysis tool
- Ability to clearly communicate complex technical systems and decision making
- We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!
What the job involves
- The Embedded Insights team supports Plaid’s mission to build a world-class suite of intelligence products
- We identify the best opportunities to use machine learning in Plaid products, prove out those opportunities, and collaborate with cross-functional partners to turn them into real world production systems
- As a Machine Learning Engineer on the Embedded Insights team, you will drive machine learning initiatives from concept to production, working across the full model development lifecycle
- You will leverage Plaid’s unique datasets to identify high-impact opportunities for machine learning, develop proofs of concept to validate new approaches, and build MVP solutions that demonstrate customer value
- Partnering closely with product managers, engineers, and other cross-functional stakeholders, you will embed within product teams to translate successful prototypes into scalable, customer-facing products
- As solutions gain traction, you will help expand their reach by optimizing models for new use cases, improving system scalability, and incorporating customer feedback gathered before and after launch
- You will also be responsible for maintaining and enhancing existing machine learning systems through feature development, retraining strategies, and robust monitoring frameworks, including metrics, alerts, and dashboards that ensure model performance, reliability, and long-term health
- Opportunity to shape Plaid’s future as a company where intelligence products are a core value proposition
- Dive into one of the most unique datasets available in the industry and shape the strategy to leverage its value
- Work across many different areas and learn deeply about the entire Plaid product suite
- Build products that empower millions of people to achieve financial freedom and opportunity
- Work closely with customers to ensure products meet their needs and demonstrate true impact
- Join a high ownership team where the greenfield opportunity is extremely high
Our take
Plaid builds infrastructure that allows consumers 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 over 12,000 financial institutions in the US, Canada, the UK and Europe. And 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.
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
- Vibrant offices in SF, NYC, and Raleigh-Durham—with catered meals, happy hours, and clubs to keep you connected
- Competitive pay, comprehensive health benefits, and support for fertility, mental health, and parental leave
- Lifestyle perks including home office stipends, daycare support, and commuting benefits like CitiBike and Lyft
Company HQ
SoMa, San Francisco, CA
Leadership
Zach Perret
(Co-Founder & CEO)Previously, Zach was a Consultant at Bain and a Research Fellow and Trustee at Duke before co-founding Plaid ion 2012.
Salary benchmarks
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