Machine Learning Engineer

TL;DR

Machine Learning Engineer: Developing and maintaining machine learning training and inference infrastructure with an accent on mathematical foundations and robust, reproducible research workflows. Focus on designing efficient ML systems, applying appropriate modeling techniques, and enhancing research feedback cycles.

What you will do

• Build and maintain training and inference infrastructure for ML models
• Design APIs and systems that are user-friendly and efficient
• Apply various ML techniques including neural networks, random forests, and ensemble methods
• Enhance research workflows to improve feedback cycles
• Maintain an organized and reproducible research codebase
• Collaborate with the ML team to drive platform direction

Requirements

• Fluency in English
• Strong mathematical background including optimization theory and linear algebra
• Experience with ML frameworks such as PyTorch, Jax, or TensorFlow
• Proven ability to build and maintain ML infrastructure from concept to production
• Passion for staying current with state-of-the-art ML research and tools