Software Engineering
ML/AI
You'll architect systems that learn and adapt, not just execute code. This path creates CTOs who see patterns in chaos and build organizations that evolve with their data.
Career Progression
Rotational Tours · L1–L3
Build the craft. Prove you can wield the tools of Software Engineering.
Transformational Tours · L4–L7
Deliver outcomes. Each tour has a defined mission and success criteria.
Foundational Tours · L8–L10
Shape the organization. Build institutions, not just products.
What Hiring Managers Look For
L1-L3: Demonstrates ability to implement production ML models with measurable business impact, not just research prototypes.
L4-L6: Shows track record of building ML infrastructure that scaled across multiple teams and reduced model deployment time by 50%+.
L7+: Proves capability to architect AI strategy that generated 8-figure revenue or cost savings while managing technical debt and regulatory compliance.
Common Career Transitions
ML Engineering → Data Platform at L5-L6 for broader infrastructure ownership
AI Research → Product Management at L6+ leveraging deep technical credibility
ML Infrastructure → Principal Architect at L6-L7 for cross-domain system design