Mila 2
Scientifique de Données - équipe d'éducation IA
Montreal, Quebec, Canada
Sponsorship not specifiedDetected 55 days ago
TypeScriptPythonGitMachine LearningPandasData ScienceComputer VisionValuationResearchCommunicationCollaborationMentoring
About the role
- Depuis 2017, Mila est le fruit d'une collaboration entre l'Université de Montréal et l'Université McGill, en lien étroit avec Polytechnique Montréal et HEC Montréal.
- Ce rôle interdisciplinaire combine l'IA appliquée, l'éducation et l'IA responsable en expériences d'apprentissage pratiques pour les apprenants.
- La candidature idéale est techniquement compétente, curieuse, organisée et capable de communiquer clairement des concepts complexes.
Responsibilities
- Support bilingual content development and review for English/French delivery readiness.
- Support participants during technical exercises and contribute to FAQ and troubleshooting resources.
Nice to have
- Exposure to public-sector, policy, or governance-related AI applications.
- Basic Git/GitHub experience or willingness to learn quickly.
- Produce at least one paper-to-practice summary for program use.
- Teach a custom AI session.
- De bonnes raisons pour travailler à Mila L'occasion de contribuer à une mission unique avec un impact important
- Un programme d'assurance collective complet (maladie, dentaire, invalidité, vie, assurance voyage et garanties complémentaires)
- Un programme d'aide aux employés et à la famille
- Un accès à un service de télémédecine
Benefits
- Soutenir le développement et la révision de contenu bilingue pour la préparation à la livraison en anglais et en français.
- This interdisciplinary role combines applied AI, education, and responsible AI into practical learner experiences.
- You should be comfortable working across technical and educational contexts, reading research papers, building practical exercises, and supporting hands-on learning experiences.
- This role is intended for professionals who want to deepen their technical practice while contributing to responsible AI education and public understanding of AI systems.
- Learning materials & technical content Develop learner-ready materials including mini-labs, Jupyter notebooks, datasets, facilitator guides, demos, and worked examples.
- Create and update educational content related to Intro to AI, prompt patterns, model evaluation, and responsible AI considerations.
- Translate technical papers, AI reports, and emerging research into accessible summaries, exercises, and practical learning materials.
- Sharing your CV with us A cover letter explaining your interest in this role An exercise on designing a 2-hour learning experience A virtual interview An in-person interview
This listing is sourced directly from Mila 2's careers page and normalized into a canonical job model.