Tech Stack

Description

You will elevate the ML platform to next-level performance, reliability, and scalability, building infrastructure that empowers ML and Applied Science teams to innovate faster. Your work on the prediction engine will impact replenishment decisions for over 15% of US produce sales.

Requirements

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

Responsibilities

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