Software Engineer - Forecasting & Scheduling

Extensive back-end engineering experience in statically typed languages like Go, Java, or Rust. Experience using Python libraries like pandas, SciPy, and seaborn for statistical or predictive work. Previous experience working on a machine learning or algorithmic team. Strong commitment to advancing both statistical and runtime performance.

Develop forecasting interfaces, data pipelines, and inference servers to predict support contact volume. Design and implement interfaces for collecting team preferences and business constraints for agent scheduling. Enhance machine learning efficiency and operations for rapid model deployment and iteration.