C
16 days ago
New York, New York, United States
PythonReactSQLGCP
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Pay vs market · Near median
This job's pay ($241,920 a year at the midpoint) is higher than about 45% of 131 salary-listed Machine Learning Engineer jobs in United States in the last 12 months; their median is $248,820.
Role overview
Job description
We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. About the Team We’re part of Plaid’s Data organization, building models that help millions of peopl
…About this listing
- Source: Plaid's official careers site (via Ashby) · last confirmed on the source 3 Nov 2026
- Posted 2 Nov 2026
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Role market pulse
How Machine Learning Engineer demand looks in United States
Live jobs
171
Posted 30d
60
30d movement
+9.1%
Remote share
36.8%
Salary listed
83%
Salary trend 1Y
Not enough history
What they are looking for
Skills & requirements
Qualification
What Excites Us 2+ years of experience training and serving AI or machine learning models in a production environment; Master’s degree or equivalent work experience in Computer Science, Mathematics, Engineering, or a closely related field; We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws
Department · All Departments
Hiring company
Plaid
Finance & Banking
Plaid helps all companies build fintech solutions by making it easy, safe and reliable for people to connect their financial data to apps and services.
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