Staff Software Engineer, ML Platform

🕒 March 27

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Afresh

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2017

🤖 Artificial Intelligence

🛍️ eCommerce

☁️ SaaS

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.

📋 Description

• As an ML Platform Engineer on the ML Platform Engineering team, you will be instrumental in elevating our core ML platform to its next level of performance, reliability, and scalability. • You'll work on the critical infrastructure that directly enables all of Afresh's Machine Learning and Applied Science teams to innovate faster and deliver impact. • Your contributions will empower our product suite, including our flagship Prediction Engine, to power replenishment decisions on more than 15% of all produce sold in the United States. • In your first 3 months, you might deliver a project that helps generalize model configuration, enables no-code model deploys for our various ML solutions, or vastly improves integration testing across our ML systems. • By the end of your first 6 months, you will have owned the design and implementation of significant scalability improvements and additions to our ML platform.

🎯 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.