Senior Machine Learning Engineer - Fraud (Research Scientist)

Plaid is a company dedicated to empowering financial transformation by building tools that developers use to create their products. As a Senior Machine Learning Engineer, you will lead applied research to develop next-generation fraud detection models and work closely with Machine Learning Engineers to translate research into production systems.

Responsibilities:

• Build next-generation fraud detection capabilities by researching and prototyping state-of-the-art methods across graph ML, sequential modeling, and multimodal learning
• Owning a research roadmap that ships: moving from papers/prototypes to measurable product impact
• Publishing applied research and collaborating with a high-caliber team across Data, Product, and Engineering
• Working with one of the largest financial datasets to generate insights that help hundreds of millions of consumers achieve greater financial freedom

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 is a plus
• Experience with large-scale training, graph systems, and sequential modeling expertise is a plus