Software Engineer – Forecasting, Scheduling

Job not on LinkedIn

🕒 May 9

🏢🏡 San Francisco – Hybrid

💵 $135k - $280k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 32%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Assembled Products Corporation

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1983

💼 Consulting

📦 Logistics

🏭 Manufacturing

Consulting • Logistics • Manufacturing

Assembled Products Corporation is a company that specializes in designing, manufacturing, and marketing products aimed at improving people's lives globally. Founded in 1983, the company boasts a portfolio of recognizable brands such as Mart Cart™, Jotto Desk™, and Spray Master Technologies™. With an emphasis on innovation, quality, and customer satisfaction, Assembled Products Corporation serves a diverse range of industries with its well-regarded and competitive product lines.

📋 Description

• 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

• 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, ensuring reliable and efficient forecasting and scheduling.

🏖️ Benefits

• Stock options • A full range of medical, financial, and/or other benefits