Machine Learning Engineer Fraud Data
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Job Location:
New York City, NY - USA
Monthly Salary:
Not Disclosed
Posted on:
27 days ago
Vacancies:
1 Vacancy
Job Summary
We believe that the way people interact with their finances will drastically improve in the next few years. Were 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. Plaids network covers 12000 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.
Were the Data team within Plaids Fraud organization and were on a mission to stop fraud before it happens. Our team builds the machine learning systems that power Plaids most advanced fraud detection products harnessing the scale and richness of Plaids 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.
As a Machine Learning Engineer on Plaids Fraud Data team youll play a key role in shaping the future of fraud prevention. Youll 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 youll help design and deliver scalable high-quality ML systems that protect Plaids customers at scale. Youll also have the opportunity to explore and prototype GenAI-driven capabilities that push the boundaries of our fraud modeling and investigation tools.
***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 system
- 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
$202800 - $279600 a year
The target base salary for this position ranges from $202800/year to $279600/year in Zone 1. The target base salary will vary based on the jobs location.
Our geographic zones are as follows:
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 US cities
Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan including medical dental vision and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position candidates work experience and skillset and location. Pay and benefits are subject to change at any time consistent with the terms of any applicable compensation or benefit plans.
Our mission at Plaid is to unlock financial freedom for everyone. To support that mission we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesnt fully match the job description. We are always looking for team members that will bring something unique to Plaid!
Plaid is proud to be an equal opportunity employer and values diversity at our company. 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 applicable legally protected characteristics. We also 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 any assistance with your application or interviews due to a disability please let us know at emailprotected.
Please review our Candidate Privacy Noticehere.
Key Skills
- Electrical
- Academics
- Customer Service
- Computer Data Entry
- Cardiac Surgery
- Freight Forwarding
About Company
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.
