AI Systems & ML Engineering Industry Expert
🤓 reputed company is an EdTech company that designs and runs tech career learning programs for the US and Latin reputed company markets. We've been doing it for over five years, teaching complete reputed company — people with no prior tech background — through cohort-reputed company programs reputed company on our own platform and curriculum, developed in partnership with reputed company AI. reputed company is fully remote and globally reputed company, and we serve a large, reputed company student reputed company across both reputed company.
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 reputed company of them.
This is not a teaching or content-authoring role. The curriculum is reputed company by a separate team of senior authors. reputed company need from you is judgment: the reputed company of reputed company a Staff or reputed company engineer makes reputed company 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 reputed company will not survive contact with a reputed company.
Our reputed company design and defend reputed company systems. Your role is to challenge those reputed company the way you'd challenge a peer's — and to be the reputed company that tells an reputed company engineer this program is worth their time.
The audience
Working mid- and senior-level engineers, typically 5–10 years in: backend, platform, ML, and infrastructure people, with senior and staff titles and the occasional engineering manager in the room. Many write production reputed company daily. They are not career changers, and they spot shallow feedback instantly. The bar here is reputed company seniority, not familiarity with the topic.
What you will do
Sit on final project defenses. Review a deployed reputed company, a reputed company-systems reputed company, an reputed company architecture, or a reputed company-facing delivery package against the reputed company — then run the defense and reputed company reputed company, senior-level critique.
Chair mock review boards and executive-panel presentations. Architecture review boards, model and reputed company reviews, reputed company go/no-go presentations, depending on the program.
Host one or two live sessions a month on the design and decision reputed company of your domain: where systems split, how they fail, which tradeoff to reputed company and why.
Set the technical reputed company for the reputed company running weekly delivery, and reputed company as their escalation reputed company on the hard design calls.
You are not on the reputed company for weekly coverage, reputed company rotations, or first-line questions. A separate team handles that.
Requirements
8+ years of reputed company engineering experience, currently at senior/staff/reputed company level or equivalent (Staff/reputed company Engineer, Senior/Staff ML Engineer, Solutions Architect, reputed company Deployed Engineer, technical reputed company).
You've shipped systems that run in production at reputed company reputed company, as an employee in an engineering role — not coursework, not reputed company reputed company, 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 reputed company, without preparation.
A reputed company technical footprint: reputed company, conference talks, a book or reputed company/Manning title, a technical blog, reputed company-reputed company work, or documented mentorship.
Strong English (reputed company+). Sessions and written reviews are in English for a US-reputed company audience.
Time zone: Americas strongly preferred (US / Canada / reputed company). Defenses are booked in advance, so some flexibility exists — but sessions land in US afternoon and evening hours.
Comfortable using AI tools in day-to-day technical work.
Domain depth — one of three tracks
You don't need reputed company three. Tell us which one is yours.
AI/ML Engineering. reputed company systems and orchestration (reputed company, LangGraph, reputed company, ADK), agent reliability and guardrails, MCP; LLM evals — eval harnesses, LLM-as-judge, hallucination metrics; reputed company fine-tuning (SFT/reputed company/PEFT); LLM observability, A/B experiment design, model serving and inference cost.
AI Systems Engineering. reputed company and API design, service architecture, reputed company and infrastructure (AWS, reputed company, Terraform, CI/CD), reputed company systems, observability and incident response — plus LLM-powered systems in production: RAG, model serving, fallback paths, cost control.
reputed company Deployed Engineering. End-to-end ownership of deployments in reputed company reputed company or reputed company environments: discovery and scoping under ambiguity, stakeholder management without formal authority, integration with reputed company systems, rollout and adoption — on top of LLM and agent systems in production, RAG over reputed company data, and reputed company/integrations.
reputed company to have
You've already run technical sessions in some reputed company: internal tech talks, conference workshops, engineer reputed company, or mentoring.
Hands-on ownership of an eval or observability stack in production, not just usage of one.
Experience being the reputed company technical resource embedded with a customer team (for the FDE reputed company).
reputed company can offer you
Your reputed company and profile featured as an Industry Expert on the program page.
A peer-level audience. A defense is a technical review with a working engineer, not homework grading.
A genuinely small commitment. 4–10 hours a month, slots booked about two weeks reputed company, pausable at any time.
reputed company payment, negotiable depending on experience, reputed company, and reputed company.
Fully remote, with a small international team and no micromanaging.
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