Senior Machine Learning Engineer

The role involves developing and maintaining the integrity layer for risk machine learning models, with an emphasis on label quality, monitoring, and statistical analysis. Responsibilities include designing automated audit processes, collaborating with cross-functional teams, and working across the machine learning lifecycle from training to deployment. Candidates should possess a STEM degree, strong statistical knowledge, and experience with ML frameworks, programming in Python or Java, and SQL. Knowledge of real-time streaming data pipelines and success in competitive ML environments are advantageous. The environment promotes autonomous, cross-disciplinary work, with a focus on innovative, data-driven solutions.