Software Engineer – Forecasting, Scheduling

Assembled Products Corporation

Software Engineer developing predictive tools and scheduling systems for customer support teams at Assembled. Utilizing machine learning techniques to optimize performance and efficiency.

Posted 5/9/2026full-timeNew York City • New York • 🇺🇸 United StatesMid-LevelSenior💰 $135,000 - $280,000 per yearWebsite

Tech Stack

Tools & technologies

PandasPython

About the role

Key responsibilities & impact

Predicting contact volume: 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.
Scheduling 1000s of support agents: 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.
MLOps: Enhancing machine learning efficiency and operations to support rapid model deployment and iteration.

Requirements

What you’ll need

Familiarity with ML packages and software: Experience using Python libraries like pandas, SciPy, and seaborn for statistical or predictive work.
Background in ML or algorithmic teams: Previous experience working on a machine learning or algorithmic team.
Passion for performance: A strong commitment to advancing both statistical and runtime performance.

Benefits

Comp & perks

Stock options
Full range of medical benefits
Financial benefits

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonpandasSciPyseabornMLOpsdata pipelinesforecasting interfacesstatistical performanceruntime performancemachine learning

Soft Skills

commitmentteam collaborationproblem-solving