[Hiring] Software Engineer - Forecasting & Scheduling @Assembledhq

Role Description

This role involves developing solutions to enhance customer support operations through advanced forecasting and scheduling techniques.

• 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.

Qualifications

• 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.
• A strong commitment to advancing both statistical and runtime performance, ensuring reliable and efficient forecasting and scheduling.

Company Description

Assembled is the only unified platform that orchestrates human agents and AI at scale, helping teams deliver faster, better service while making smarter decisions about staffing and automation.