Software Engineer, ML Platform

Afresh is the leading AI company in fresh food, partnering with grocers to order billions of dollars of fresh food nationwide. The ML Platform Engineer will elevate the core ML platform's performance and scalability, enabling faster innovation and impact for the company's machine learning and applied science teams.

Responsibilities:

• In your first 3 months, you might deliver a feature 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 implementation of significant scalability improvements and additions to our ML platform. This might include new feature pipelines that power our recommendation engine, or work to stand up the first instance of real-time inference at Afresh

Requirements:

• BS in Computer Science or a relevant technical field
• 3+ 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
• Deep expertise in library design, API design, data structures, and algorithms
• Strong familiarity with Python