ML Platform Engineer

📋 Description

• Build and maintain the core ML platform infrastructure and tooling.
• Provide shared components and services to deploy and scale ML models.
• Work on data APIs, featurization, forecasting, and training pipelines.
• Improve performance, reliability, and scalability of the platform.
• Enable real-time inference and scalable experimentation.

🎯 Requirements

• BS in Computer Science or a related field.
• 3+ years of professional software development experience.
• Experience collaborating with ML engineers, data scientists.
• Deep expertise in library design, API design, data structures, algorithms.
• Strong proficiency in Python.

🎁 Benefits

• Remote in the U.S. or Ontario, Canada.
• Remote work allowed for residents in listed U.S. states.
• Be part of Afresh's mission to reduce food waste.
• EEO: equal employment opportunities.
• Work on cutting-edge ML platform at scale.