Experienced Data Scientist, Plaid
Machine Learning, Identity Verification
$203-303.5k
Data network powering the tools millions of people rely on to live a healthier financial life
Job no longer available
Data network powering the tools millions of people rely on to live a healthier financial life
1001+ employees
Job no longer available
$203-303.5k
1001+ employees
Company mission
To unlock financial freedom for everyone.
Role
Who you are
- 5+ years in training and serving AI/ML models in a production environment
- 3+ years in building/working with data intensive backend applications in large distributed systems
- Ability to code and iterate independently on top of data infrastructure tools like Python, Spark, Jupyter notebooks, standard ML libraries, etc
- Take pride in taking ownership and driving projects to business impact
- Data analytics and data engineering experience is a plus
- Experience with the industry application of ML in Identity Verification solutions is a big plus
- Experience with the FinTech industry is a plus
- Ability to work with technical and non-technical teams
- Master's degree or equivalent work experience in Computer Science, Mathematics, Engineering, Operation Research, or a closely related field
What the job involves
- You’ll be a machine learning engineer embedded on the Identity Verification team
- In this position, you will focus on designing, building and deploying scalable ML solutions and systems to power our Identity Verification product
- You will lead the efforts to experiment with new modeling approaches and strategies, as well as collaborating closely with a skilled team of engineers on ingesting signals and productionizing these models
- Utilizing Plaid’s massive network data to our customers verify the identity of their users and seamlessly stitches together verification methods
- Build with impact. Your work will empower millions of users through well-known and emerging Fintech Applications with access to financial services
- Experiment with cutting edge ML modeling techniques
- Work on 0-1 stage problems
- Develop AI/MLmodels in a full life cycle, from offline training to online serving and monitoring
- Collaborate with teams across Identity Verification to define the data/ML roadmap
- Dive deep into data and apply data driven decisions in day-to-day work
- A high ownership, bottom-up driven team
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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