
51 - 200 employees
Founded 1983
🛒 Retail
⚡ Productivity
Manufacturing • Retail • Productivity
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.
🕒 May 9
🏢🏡 San Francisco – Hybrid
💵 $135k - $280k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🧑💻 Full-stack Engineer
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51 - 200 employees
Founded 1983
🛒 Retail
⚡ Productivity
Manufacturing • Retail • Productivity
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.
• 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.
• 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.
• Stock options • A full range of medical, financial, and/or other benefits
Apply Now🕒 May 9
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