Staff Machine Learning Engineer, Fraud Data
Plaid
AirflowPythonPyTorchSpark
Machine Learning Engineer – Fraud Data
Plaid
full-time
Posted on:
Location Type: Hybrid
Location: San Francisco • California • 🇺🇸 United States
Visit company websiteSalary
💰 $202,800 - $279,600 per year
Job Level
Mid-LevelSenior
Tech Stack
Python
About the role
- 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
Requirements
- 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
Benefits
- Comprehensive benefit plan, including medical, dental, vision, and 401(k).
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningfeature engineeringproduction deploymentPythondata engineeringmodelingfraud detectionrisk modelinglarge language modelsgenerative AI
Soft skills
curiosityadaptabilitycollaboration
