Staff ML Platform Engineer

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November 13

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Afresh

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Artificial Intelligence • eCommerce • SaaS

Afresh is a technology company that provides innovative solutions for the fresh food grocery sector. Their platform leverages cutting-edge machine learning to optimize ordering, inventory management, and reduce food waste, helping grocery teams to manage fresh produce more efficiently. Afresh aims to transform grocery store operations with best-in-class technology, ensuring fresher displays, faster inventory turns, and increased sales. By enhancing operational efficiency and accuracy, Afresh supports grocers in sustainability goals like reducing greenhouse gas emissions and water usage. The company is committed to sustainably nourishing the world with fresh food.

51 - 200 employees

Founded 2017

🤖 Artificial Intelligence

🛍️ eCommerce

☁️ SaaS

📋 Description

• Elevate core ML platform to its next level of performance, reliability, and scalability. • Work on critical infrastructure for Machine Learning and Applied Science teams. • Empower product suite, including flagship Prediction Engine, for replenishment decisions.

🎯 Requirements

• BS in Computer Science or a relevant technical field. • 7+ years of professional software development experience with a proven track record of shipping high-quality applications and services. • Experience working collaboratively with machine learning engineers, data scientists, or applied scientists on large-scale software projects involving machine learning models. • Technical leadership experience and a demonstrated ability to mentor junior engineers. • Deep expertise in library design, API design, data structures, and algorithms. • Strong familiarity with Python.