Software Engineering
AI Safety Researcher / Alignment Engineer
Master alignment theory, use AI agents to accelerate research velocity.
Linear Algebra Foundations
Vectors, matrices, eigenvalues for ML fundamentals.
Probability and Statistics
Distributions, Bayes theorem, hypothesis testing essentials.
Python Programming
Fluent Python for research, scripting, experimentation.
Deep Learning Fundamentals
Neural networks, backprop, transformers for alignment study.
Alignment and Safety Theory
Specification gaming, reward hacking, corrigibility concepts.
Mechanistic Interpretability
Understanding neural network internals, circuits, attention.
Evaluating and Testing AI Systems
Red teaming, adversarial testing, benchmarking rigor.
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