Software Engineer - Forecasting & Scheduling

Assembled is a unified platform that orchestrates human agents and AI for customer support at scale. The role involves developing forecasting interfaces and scheduling systems for support agents while enhancing machine learning operations.

Responsibilities:

• Developing forecasting interfaces, data pipelines, and inference servers to predict support contact volume and determine the optimal number of support agents required for specific days and times
• Designing and implementing interfaces to collect and store team preferences and customer business constraints (e.g., labor laws), enabling the creation of optimal schedules for teams of thousands of support agents based on these forecasts and constraints
• Enhancing machine learning efficiency and operations to support rapid model deployment and iteration

Requirements:

• Experience using Python libraries like pandas, SciPy, and seaborn for statistical or predictive work
• Previous experience working on a machine learning or algorithmic team
• A strong commitment to advancing both statistical and runtime performance, ensuring reliable and efficient forecasting and scheduling