Machine Learning Engineer
il y a 15 heures
Our content is Jedha's backbone. We believe that building the greatest content is one of the founding pillars of a great school.
As our training content grows in size, we are looking for someone passionate about education and AI who can share their vision and implement it in our training, as well as implement AI solutions in our learning management system.
We're looking for a Machine Learning Engineer who loves education, can craft outstanding learning content, and can also ship pragmatic AI solutions inside our LMS and content production pipeline.
This role requires a combination of extensive technical expertise, pedagogical skills, and leadership in content delivery:
Content Creation (80%): Design and build top-tier training content
Teaching (10%): Test & improve new content through short teaching pilots (fit + feedback loop)
AI Solutions (5%): Integrate AI into our content process and learning experience
Leadership (5%): Lead projects, mentor junior creators/interns, and manage technical experts (internal or freelance)
Produce engaging, high-quality technical lessons, labs, projects, and assessments (data + AI) that make complex concepts intuitive for diverse audiences.
Own a segment of the curriculum: audit existing content, identify gaps, and build a roadmap for upgrades.
Maintain a strong "learning design" logic: clear objectives, progressive difficulty, meaningful exercises, and assessment alignment.
Manage the content backlog: prioritize maintenance, handle versioning, and keep content up-to-date with fast-moving tooling.
Turn cohort/teacher feedback into concrete improvements and data-driven plans (drop-off, completion, satisfaction, and success rates).
Occasionally teach or co-teach pilot sessions to validate new content and collect real-time feedback.
Use these pilots as a feedback engine: refine content, exercises, pacing, and difficulty.
If you're passionate about education and want your work to have a visible, measurable impact, you'll feel at home here.
Identify high-leverage opportunities to integrate AI into the content production workflow (e.g., drafting assistance, quality checks, consistency checks, exercise generation with guardrails).
Prototype and ship AI features: define scope, evaluate approaches, monitor quality, and iterate.
Contribute to internal standards: prompt patterns, evaluation protocols, safety/quality guardrails, and documentation.
Lead content projects end-to-end (planning → delivery → QA → iteration).
Mentor junior/internship content creators, setting high standards, enhancing their autonomy, and imparting best practices.
Manage technical experts (internal or freelance): briefs, deadlines, reviews, alignment with learning standards.
Participate in our board of content experts and help set content quality standards for the school.
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