Machine Learning Engineer Manager, Plaid
Credit
$259.2-395.3k
+ Equity
1-5 days a week in office
Data network powering the tools millions of people rely on to live a healthier financial life
Posted today
Data network powering the tools millions of people rely on to live a healthier financial life
1001+ employees
Posted today
$259.2-395.3k
+ Equity
1-5 days a week in office
1001+ employees
Company mission
To unlock financial freedom for everyone.
Role
Who you are
- 8+ years of experience training and serving AI or machine learning models in production environments
- Experience leading a team of Data Scientists and Machine Learning Engineers
- Experience in fintech lending and a strong understanding of how models are built and used in lending
- Experience building or working with data-intensive backend applications in large, distributed systems
- Ability to code and iterate independently using data infrastructure tools such as Python, Spark, Jupyter notebooks, and standard machine learning libraries
- A track record of taking ownership and driving projects to business impact
- Ability to work effectively with both technical and non-technical teams
- Master’s degree or equivalent work experience in Computer Science, Mathematics, Engineering, or a closely related field
- Nice to have: Experience in data analytics or data engineering
What the job involves
- As the Manager of Machine Learning Engineering on the Credit team, you’ll lead the team responsible for Plaid’s LendScore and Income Insights products.
- You’ll manage and develop a team of Machine Learning Engineers and Data Scientists, set direction for advancing our insights, and partner with Engineering, Product, and other Data teams to deliver customer and business impact
- Lead, support, and develop a team of Machine Learning Engineers and Data Scientists working across credit insights products
- Set technical and product direction for evolving LendScore and Income Insights, including the team’s machine learning roadmap
- Partner with Engineering, Product, and Data teams to prioritize opportunities and deliver reliable, scalable solutions
- Guide the development of machine learning models across the full lifecycle, from experimentation and offline training to online serving and monitoring
- Help the team tackle both 0-to-1 opportunities and the scaling and improvement of established products
- Foster a high-ownership, bottom-up team culture grounded in data-driven decisions and business impact
- Leading work that can expand access to financial services for millions of people through well-known and emerging fintech applications
- Developing products and insights that support the next wave of cash-flow-based underwriting
- Helping a talented team experiment with modern machine learning techniques and bring them into production
- Shaping a roadmap that spans new 0-to-1 opportunities and scaling solutions that are already delivering value
- Working across Data, Engineering, and Product in a high-ownership environment where the team’s work can drive meaningful impact
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.
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