Senior Machine Learning Engineer – Data Foundation, AI
Plaid
Distributed SystemsPythonPyTorch
Staff Machine Learning Engineer, Fraud Data
Plaid
full-time
Posted on:
Location Type: Hybrid
Location: San Francisco • California • 🇺🇸 United States
Visit company websiteSalary
💰 $253,200 - $400,000 per year
Job Level
Lead
Tech Stack
AirflowPythonPyTorchSpark
About the role
- Design and build scalable ML infrastructure for Plaid’s fraud detection product
- Working at a fast-pace environment to build a rapidly growing product with a championship team
- Solving complex problems at the intersection of ML systems, data, and reliability
- Building the foundations for fraud detection on the largest financial dataset in the world
- Collaborating with talented engineers and data scientists across Plaid
Requirements
- 8+ years total experience, with at least 5 years building and deploying production ML systems.
- Proven experience in machine learning infrastructure/operations.
- Demonstrated technical leadership and architectural vision, driving systems from concept to production.
- Proficiency in Python, PyTorch, Spark, SageMaker, and Airflow, or equivalent technologies.
- Nice to have - experience working in fraud detection, risk modeling, or financial security domains.
- Nice to have - background in graph machine learning or related techniques.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learning infrastructureproduction ML systemstechnical leadershiparchitectural visionPythonPyTorchSparkSageMakerAirflowgraph machine learning
Soft skills
problem solvingcollaborationcommunication
