Career path

Machine Learning Engineer

Also known as MLE

A progression path for building, training, deploying, and operating machine-learning-powered software.

ML FoundationsJunior MLE

Build reliable foundations and enough context to contribute safely with guidance.

Own features and services with solid implementation judgment across neighboring layers.

Design, evolve, and debug systems across boundaries with strong tradeoff awareness.

Understand the major forms of learning and the basic model-building workflow.

Learn how neural networks are trained and why they power modern AI systems.

Connect ML models to useful product behavior.

Deploy, monitor, and iterate on ML systems in real environments.

Build the capabilities needed for this area.