Job Description
About the Role:
- Elevate our core ML platform to its next level of performance, reliability, and scalability.
- You'll work on the critical infrastructure that directly enables all of Afresh's Machine Learning and Applied Science teams to innovate faster and deliver impact.
- Your contributions will empower our product suite, including our flagship Prediction Engine.
What You'll Do:
- 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.
- 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.
About Afresh
Afresh is on a mission to eliminate food waste and increase access to fresh, nutritious food with the first fresh technology platform built to solve the biggest challenges in the fresh supply chain. They are partnered with some of the largest grocers in the US and have raised over $148 million in funding from investors.