Level path

ML Foundations

Junior MLE

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

Total concepts 121

Curated for this specific career level.

Specific to this level 21

Concepts explicitly listed in this level.

Knowledge tracks 6

Concepts span multiple tracks and layers.

Job description signals Typical responsibilities

Productionize models, feature pipelines, training workflows, serving systems, and monitoring loops.
Partner with data scientists and product teams to turn experiments into reliable ML/AI capabilities.
Improve model quality, evaluation, scalability, latency, cost, and operational safety.
Implement well-scoped tasks with guidance from more senior engineers.
Write readable code, tests, and documentation for small features or fixes.
Participate in code reviews, debugging sessions, and team ceremonies.
Learn the team codebase, delivery workflow, and production support expectations.

Cumulative view includes

Dev / Junior DevSE / Junior SE

Specific to this level 21 Cumulative 121

Track / layer mastery Concept coverage by layer

DATA

Data

20 concepts

Machine Learning & AI 18 Data Foundations 2

OPS

Operations

1 concepts

Deployment 1

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Software

59 concepts

Programming 13 Algorithms & Data Structures 12 Software Design 9 Programming Languages 7 Databases 5 System Design 5 Quality Assurance 4 Software Architecture 2 Operating Systems 1 Computer Networks 1

DATA

Data

22 concepts

Machine Learning & AI 18 Data Foundations 4

MGT

Management

14 concepts

Business Foundations 10 Requirements & Planning 3 Delivery Methodologies 1

Product

12 concepts

Developer Tools 8 API Products 2 Web Applications 2

OPS

Operations

11 concepts

Build & Packaging 4 Deployment 3 Local Development 1 Continuous Integration 1 Runtime Infrastructure 1 Observability 1

Theory

3 concepts

Algorithmic Analysis 3

Learning scope Concepts by learning area

Specific to this level

Concepts introduced by this level

Level concepts

ML Foundations

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

Machine Learning Data · Machine Learning & AI new Dataset Data · Data Foundations new Training Data Data · Data Foundations new Model Training Data · Machine Learning & AI new Supervised Learning Data · Machine Learning & AI new Unsupervised Learning Data · Machine Learning & AI new PyTorch Data · Machine Learning & AI new TensorFlow Data · Machine Learning & AI new Hugging Face Data · Machine Learning & AI new Model Inference Data · Machine Learning & AI new

Level concepts

Neural Networks & Deep Learning

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

Neural Network Data · Machine Learning & AI new Deep Learning Data · Machine Learning & AI new Loss Function Data · Machine Learning & AI new Gradient Descent Data · Machine Learning & AI new

Level concepts

AI Products

Connect ML models to useful product behavior.

AI Data · Machine Learning & AI new Narrow AI Data · Machine Learning & AI new NLP Data · Machine Learning & AI new Computer Vision Data · Machine Learning & AI new AI Agent Data · Machine Learning & AI new Chatbot Data · Machine Learning & AI new

Level concepts

ML Production

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

Software Deployment Operations · Deployment new

Cumulative level expectation

All concepts expected at this level

Inherited path

Coding Foundations

Developers begin by learning to translate requirements into working, readable code.

Inherited path

Developer Tooling

Daily development depends on version control, language tooling, static checks, and repeatable local workflows.

Git Product · Developer Tools awareness Compiler Software · Programming Languages awareness Interpreter Software · Programming Languages Package Manager Operations · Build & Packaging Linting Operations · Build & Packaging Code Editor Product · Developer Tools CLI Software · Operating Systems Version Control Product · Developer Tools Dependency Operations · Build & Packaging Artifact Operations · Build & Packaging Development Environment Operations · Local Development Software Ecosystem Software · Programming Repository Product · Developer Tools awareness Commit Product · Developer Tools awareness Branch Product · Developer Tools awareness Pull Request Product · Developer Tools awareness

Inherited path

Testing & Debugging

A developer owns not only writing code, but proving that it behaves as intended.

Unit Test Software · quality-assurance awareness Debugger Product · Developer Tools awareness Error Handling Software · Programming Code Documentation Software · Software Design Software Testing Software · quality-assurance awareness Test Case Software · quality-assurance awareness

Inherited path

Software Systems Basics

Even implementation-focused developers need a working vocabulary for clients, servers, interfaces, web requests, and the lifecycle surrounding a change.