Afresh · 1 month ago
Staff ML Platform Engineer
Afresh is on a mission to eliminate food waste and make fresh food accessible to all. As an ML Platform Engineer, you will be instrumental in elevating the core ML platform to enhance performance, reliability, and scalability, directly impacting the Machine Learning and Applied Science teams' ability to innovate and deliver results.
AgricultureArtificial Intelligence (AI)Food and BeverageLogisticsMachine LearningSoftwareSupply Chain Management
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
Qualification
Required
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
Company
Afresh
Afresh is an AI-powered company selling software to track demand and manage orders for fresh produce in grocery stores.
Funding
Current Stage
Growth StageTotal Funding
$147.79MKey Investors
Food Retail VenturesInnovation EndeavorsBaseline Ventures
2022-08-04Series B· $115M
2020-11-19Series A· $13M
2020-07-20Series A· $12M
Recent News
2025-08-06
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