AI Systems & ML Engineering Industry Expert

TripleTen is a career learning platform for tech professionals and complete beginners ready to move into higher-paying tech and AI roles. We launched in 2020, we run programs across the US and Latin America, and 7,500+ people worldwide have completed one. Our team is fully remote and globally distributed.

In 2026 we opened a second tier of programs for people already working in tech: AI Systems Engineering, AI & Machine Learning, and Forward Deployed Engineering. Same platform, different bar.

We're launching three advanced engineering programs for working mid/senior engineers, and we're looking for a small number of Industry Experts to set the technical bar in each of them.

This is not a teaching or content-authoring role. The curriculum is built by a separate team of senior authors. What we need from you is judgment: the kind of call a Staff or Principal engineer makes when they look at a design and know, in thirty seconds, that the service split is wrong, the eval is measuring the wrong thing, or the scope will not survive contact with a client.

Our students design and defend real systems. Your role is to challenge those decisions the way you'd challenge a peer's — and to be the name that tells an experienced engineer this program is worth their time.

Requirements

• 8+ years of professional engineering experience, currently at senior/staff/principal level or equivalent (Staff/Principal Engineer, Senior/Staff ML Engineer, Solutions Architect, Forward Deployed Engineer, technical lead).
• You've shipped systems that run in production at real scale, as an employee in an engineering role — not coursework, not side projects, not a slide deck about someone else's platform.
• You can explain *why* a decision was made, not just *how* it was implemented — and diagnose and critique someone else's architecture live, on a call, without preparation.
• A public technical footprint: GitHub, conference talks, a book