Plaid
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, Washington D.C., London and Amsterdam.
We’re the Data team within Plaid’s Fraud organization, and we’re on a mission to stop fraud before it happens. Our team builds the machine learning systems that power Plaid’s most advanced fraud detection products, harnessing the scale and richness of Plaid’s network data to protect consumers and businesses alike. We own the full ML lifecycle — from feature pipelines and model training to deployment and monitoring — ensuring our systems are reliable, scalable, and ready to support hundreds of customers as Plaid continues to grow.
Role Overview As a Machine Learning Engineer on Plaid’s Fraud Data team, you’ll play a key role in shaping the future of fraud prevention. You’ll develop new features and machine learning models that enhance the accuracy and effectiveness of our fraud detection systems, while building reliable data and model pipelines to power both experimentation and production workflows. Working closely with data science, infrastructure, and product teams, you’ll help design and deliver scalable, high‑quality ML systems that protect Plaid’s customers at scale. You’ll also have the opportunity to explore and prototype GenAI‑driven capabilities that push the boundaries of our fraud modeling and investigation tools.
Remote Work We are open to remote candidates for this role.
Responsibilities
Build and deploy end‑to‑end ML solutions — from feature engineering to production deployment
Scale and optimize machine learning systems in a real‑world, high‑traffic environment
Explore and apply cutting‑edge LLMs and generative AI to strengthen fraud prevention and investigation
Grow your career in a fast‑paced, collaborative environment
Qualifications
3‑5 years total experience, with at least 2 years of hands‑on work in ML systems, modeling, or data engineering
Proven experience building and deploying end‑to‑end machine learning systems
Strong foundation in Python and core ML principles
Demonstrated curiosity and adaptability — comfortable working across both modeling and infrastructure
Nice to have – experience in fraud detection, risk modeling, or related domains
Nice to have – familiarity with large language models (LLMs) or generative AI frameworks
Compensation & Benefits Base salary range:
$202,800 – $279,600
per year, varying by location.
Additional compensation: equity and/or commission, dependent on the position offered.
Benefits include medical, dental, vision, 401(k), and a comprehensive benefit plan.
Geographic Zones:
Zone 1 – New York City and San Francisco Bay Area
Zone 2 – Los Angeles, Seattle, Washington D.C.
Zone 3 – Austin, Boston, Denver, Houston, Portland, Sacramento, San Diego
Zone 4 – Raleigh‑Durham and all other U.S. cities
EEO Statement Our mission at Plaid is to unlock financial freedom for everyone. We seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We welcome applicants whose experience may not fully match the job description, and we always look for team members who bring something unique to Plaid. Plaid is a proud equal‑opportunity employer. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other legally protected characteristics. We consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com.
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We’re the Data team within Plaid’s Fraud organization, and we’re on a mission to stop fraud before it happens. Our team builds the machine learning systems that power Plaid’s most advanced fraud detection products, harnessing the scale and richness of Plaid’s network data to protect consumers and businesses alike. We own the full ML lifecycle — from feature pipelines and model training to deployment and monitoring — ensuring our systems are reliable, scalable, and ready to support hundreds of customers as Plaid continues to grow.
Role Overview As a Machine Learning Engineer on Plaid’s Fraud Data team, you’ll play a key role in shaping the future of fraud prevention. You’ll develop new features and machine learning models that enhance the accuracy and effectiveness of our fraud detection systems, while building reliable data and model pipelines to power both experimentation and production workflows. Working closely with data science, infrastructure, and product teams, you’ll help design and deliver scalable, high‑quality ML systems that protect Plaid’s customers at scale. You’ll also have the opportunity to explore and prototype GenAI‑driven capabilities that push the boundaries of our fraud modeling and investigation tools.
Remote Work We are open to remote candidates for this role.
Responsibilities
Build and deploy end‑to‑end ML solutions — from feature engineering to production deployment
Scale and optimize machine learning systems in a real‑world, high‑traffic environment
Explore and apply cutting‑edge LLMs and generative AI to strengthen fraud prevention and investigation
Grow your career in a fast‑paced, collaborative environment
Qualifications
3‑5 years total experience, with at least 2 years of hands‑on work in ML systems, modeling, or data engineering
Proven experience building and deploying end‑to‑end machine learning systems
Strong foundation in Python and core ML principles
Demonstrated curiosity and adaptability — comfortable working across both modeling and infrastructure
Nice to have – experience in fraud detection, risk modeling, or related domains
Nice to have – familiarity with large language models (LLMs) or generative AI frameworks
Compensation & Benefits Base salary range:
$202,800 – $279,600
per year, varying by location.
Additional compensation: equity and/or commission, dependent on the position offered.
Benefits include medical, dental, vision, 401(k), and a comprehensive benefit plan.
Geographic Zones:
Zone 1 – New York City and San Francisco Bay Area
Zone 2 – Los Angeles, Seattle, Washington D.C.
Zone 3 – Austin, Boston, Denver, Houston, Portland, Sacramento, San Diego
Zone 4 – Raleigh‑Durham and all other U.S. cities
EEO Statement Our mission at Plaid is to unlock financial freedom for everyone. We seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We welcome applicants whose experience may not fully match the job description, and we always look for team members who bring something unique to Plaid. Plaid is a proud equal‑opportunity employer. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other legally protected characteristics. We consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com.
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