Staff Software Engineer, ML Platform

Afresh is the leading AI company in fresh food, partnering with grocers to eliminate food waste and make fresh food accessible. The ML Platform Engineering team is responsible for building and maintaining the infrastructure that powers machine learning solutions, and the ML Platform Engineer will enhance the performance and scalability of this core platform.

Responsibilities:

• 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. 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
• 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