Senior Machine Learning Engineer - Fraud (Research Scientist) at Plaid

The ideal candidate is a research-focused ML expert, likely with a PhD and at least three years of experience building fraud or security models. You should have a deep background in graph neural networks and sequential modeling to handle complex financial data. **What makes it worth a look...** The compensation is incredibly strong, topping out at $337k for a role that offers true remote flexibility despite the hybrid listing. You get to move beyond theoretical research by shipping foundation models that directly stop financial crime across a massive network of 12,000 institutions. **You might be a good fit if you...** * Have a strong publication record or equivalent innovation in applied ML research. * Can write high-quality Python prototypes for Graph Neural Networks or Transformers. * Are comfortable working with massive, multimodal datasets including relational graphs and video. * Want to own the full research roadmap from a white paper to a production environment.