Staff ML Platform Engineer

• Build and maintain foundational infrastructure and tooling that powers all machine learning and applied science solutions
• Develop shared components and services that enable teams to develop, deploy, and scale robust ML models
• Elevate the core ML platform to its next level of performance, reliability, and scalability
• Work on 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, to power replenishment decisions on more than 15% of all produce sold in the United States, directly translating your work into massive scale and social good by eliminating food waste and making fresh food accessible to all.

• 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

No specific benefits, compensation, or perks mentioned in the job description. Salary bands are listed but no specific values provided.

Afresh is working on the #1 solution to curb climate change: reducing food waste. By combining human insight and transformative technology, they're helping grocers provide fresher food to customers at more affordable prices.