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SeniorFull-timePythonAWSMachine LearningML
Salary Range
$225,600 - $337,200 /year
About the Role
We are looking for a Machine Learning Engineer to join Plaid’s Fraud Data team. This role focuses on designing and building scalable ML infrastructure that powers our industry-leading fraud detection product.
Key Responsibilities
- →Lead applied research to develop next-generation fraud models over relational graphs, sequential events, images, and videos data.
- →Design and run rigorous experiments and develop evaluation methodologies that reflect real-world fraud dynamics.
- →Prototype state-of-the-art model architectures (Graph Neural Networks, Transformer-based foundation models) and translate successful prototypes into production with fellow MLEs.
- →Publish and communicate results internally and externally raising the technical bar for fraud ML at Plaid.
Requirements
- ✓PhD strongly preferred; we will consider equivalent research experience with a strong publication/innovation track record
- ✓3+ years of experience as a Machine Learning Engineer or Research Scientist
- ✓Strong scientific rigor and communication
- ✓Strong Python skills + ability to build high-quality research prototypes
- ✓Fraud / security / abuse domain experience - Nice to have
- ✓Experience with large-scale training, graph systems, and sequential modeling - Nice to have
