Tech Stack

Description

You'll build and maintain the foundational infrastructure and tooling that powers all ML and applied science solutions at Afresh, a company using AI to reduce food waste in grocery. Your work will directly enable ML teams to innovate faster and scale predictions across time scales and data hierarchies.

Requirements

• BS in Computer Science or relevant field
• 4+ years professional software development experience
• Experience working with ML engineers on large-scale ML projects
• Technical leadership and mentoring experience
• Deep expertise in library/API design, data structures, algorithms, Python

Responsibilities

• Design and implement scalability improvements to the ML platform
• Generalize model configuration and enable no-code model deploys
• Improve integration testing across ML systems
• Build new feature pipelines for the recommendation engine
• Stand up the first instance of real-time inference