Senior ML Platform Engineer

Summary

Join Afresh's ML Platform Engineering team and play a pivotal role in enhancing our core ML platform's performance, reliability, and scalability. You will work on critical infrastructure directly impacting Afresh's Machine Learning and Applied Science teams, enabling faster innovation and impactful results. Your contributions will empower our flagship Prediction Engine, influencing replenishment decisions for over 15% of all produce sold in the US. Within your first three months, you might focus on generalizing model configuration, enabling no-code model deployments, or improving integration testing. By six months, you'll have designed and implemented significant scalability improvements and additions to our platform, potentially including new feature pipelines or real-time inference capabilities. Afresh is committed to eliminating food waste and making fresh food accessible to all, offering a unique opportunity to make a significant social impact.

Requirements

• BS in Computer Science or a relevant technical field
• 4+ 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

Responsibilities

• Build and maintain the foundational infrastructure and tooling that powers all of our machine learning and applied science solutions
• Provide the shared components and services that enable our teams to develop, deploy, and scale robust ML models
• Develop a performant data API, configurable featurization, reliable forecasting systems, highly parallel optimization engines, and scalable training pipelines
• Develop deep experimentation capabilities
• Elevate our core ML platform to its next level of performance, reliability, and scalability
• Work on the critical infrastructure that directly enables all of Afresh's Machine Learning and Applied Science teams to innovate faster and deliver impact
• 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

Benefits

Here at Afresh, many of our employees work remotely provided that they reside in one of the following states: AR, CA, CO, FL, GA, IL, KY, MA, MI, MT, MO, NV, NJ, NY, NC, OR, PA, TX, WA, WI