Senior Machine Learning Engineer - Payments at Plaid

This role is for an experienced ML practitioner with at least five years of experience building and productionizing models within large-scale distributed systems. You should be equally comfortable iterating in Jupyter notebooks and handling the data engineering required to pipe high-volume financial signals into live applications. **What makes it worth a look...** The compensation is significantly high, reaching up to $337k for senior talent at a fintech leader that effectively defines the industry's infrastructure. You will have the unique chance to work on high-stakes payment problems like anomaly detection and time series forecasting that directly impact how millions of people move money. **You might be a good fit if you...** * Have a solid track record of deploying models into production using Python, Spark, and standard ML libraries. * Can navigate the full lifecycle from offline experimentation to online serving and monitoring. * Enjoy the "0 to 1" phase of building new products as much as scaling existing ones. * Bring a background in NLP or the fintech space to help refine complex financial data.