[Hiring] AI & Machine Learning Teaching Expert @TripleTen

Role Description

We're looking for the person who brings an AI and Machine Learning curriculum to life for students:

• Hosts the live sessions
• Reviews the work
• Runs the model and system review boards
• Sets the technical bar for the people supporting alongside them

This is a teaching and reviewing role. You'll be the senior technical presence students learn from week to week:

• Run live sessions and office hours
• Give real engineering feedback on student ML deliverables
• Act as the escalation point for a team of supporting instructors

Your audience: An experienced developer or engineer – SWE, data engineer, data analyst, DevOps/SRE, or quant – who wants to move into an adjacent AI/ML role (MLE, AI engineer, MLOps, data scientist) and carry their existing experience across, not start over.

Format: Live sessions, office hours, 1:1s, and workshops timed around US Eastern Time – mostly 2:00 PM to 9:00 PM ET. Estimated 10 to 15 hrs/week.

Please submit all resumes or CVs in English.

What you will do:

• Host live sessions focused on the design of ML systems: agentic architectures, orchestration, evaluation, and reliability of LLM-based systems
• Run group office hours, 1:1 sessions and tech mock interviews for students working through projects
• Review student projects against rubrics
• Set the technical standard for a team of supporting instructors who cover questions and first-line review, and act as their escalation point

Qualifications

• 7+ years of professional ML engineering experience, currently working at senior level or above (Senior/Lead/Staff ML Engineer, AI Engineer, or ML/AI Systems Architect)
• Has built and shipped AI or ML systems that ran in production in a real company, not just notebooks or side projects
• Depth across the AI engineering spine: agentic systems (L3, LangChain/CrewAI/ADK frameworks, orchestration, self-correction), agent reliability and guardrails, MCP; LLM evals (eval harness, LLM-as-judge, hallucination metrics), applied fine-tuning (SFT/LoRA); AI coding tools in the SDLC, LLM observability, A/B experiment design
• Can explain why a modeling or architecture decision was made, not just how it was implemented, and can diagnose and critique someone else's work live
• Strong technical communication: comfortable leading a live session and writing clear, specific review feedback
• Strong English C1+ — instruction and review are in English for a US-based audience
• Comfortable using AI tools in day-to-day technical work

Requirements

• Has taught, mentored, or run technical sessions before: internal tech talks, onboarding, mentoring engineers, bootcamp or workshop instruction
• Production experience with agentic frameworks (LangChain, CrewAI, ADK) and MCP-based tool integrations
• Hands-on ownership of an eval or observability stack in production, not just usage
• Work experience at a recognizable company
• Familiarity with online education platforms or running programs

Benefits

• Fully remote work, with live sessions scheduled within US afternoon and evening hours
• A digital office: we use modern tools (Notion, Slack, Zoom) to keep collaboration smooth
• Professional trust and autonomy: no micromanaging
• A diverse, international, close-knit team excited to work with you!