ML Growth Engineer

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DeweyLearn, Inc.

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📚 Éducation

🤖 Intelligence artificielle

☁️ SaaS

Education • Artificial Intelligence • SaaS

DeweyLearn, Inc. est un assistant pédagogique et une plateforme d'analyse propulsée par l'IA, qui utilise des données multimodales (texte, voix, interaction et entrées de capteurs en classe) pour fournir des insights en temps réel sur l'engagement des étudiants, la collaboration et la complexité cognitive. Elle aide les écoles de la maternelle au lycée (K–12), l'enseignement supérieur, les prestataires de tutorat, et les formateurs d'entreprise à identifier les lacunes d'apprentissage, surveiller les dynamiques de groupe, et recevoir des recommandations exploitables via une interface de chatbot, tout en mettant l'accent sur le soutien centré sur l'enseignant, la confidentialité des données et la conformité réglementaire.

Description

• Develop scalable Python services and production-grade APIs • Design, implement, and improve AI features using LLMs and modern ML techniques • Build specialized edge models • Create unique labeling strategies and coach labeling of data to support model building. • Take AI systems from concept and prototype to reliable, observable, production deployments • Collaborate closely with product, founders, and stakeholders to shape product direction • Continuously improve system architecture, data pipelines, and ML/AI infrastructure

🎯 Exigences

• You’re a curious technologist at heart. • You are a fast self-learner and enjoy dialog • You have strong software engineering fundamentals and can build reliable systems that others can understand, maintain, and extend • You’ve worked on teams where you took ownership - you helped define the problem, shipped a solution, measured results, and iterated • You are a good communicator and can ask the right questions, explain trade-offs in a straightforward way, and collaborate with stakeholders • You enjoy collaborating and mentoring • You have a proven track record as a Python developer and ML engineer, with at least 7 years of professional software engineering experience • You have experience working with ML/AI systems in a production environment • You have native/fluent proficiency in English • Experience in early-stage startups is a plus • Expert command of the Python language and its ecosystem • Expert command of key ML modeling frameworks and the creation of specialized ML models • Deep understanding of YOLO, previous use is a plus • Strong background in Data Science • Extensive experience with Large Language Models • Proven expertise in Docker containerization and CI/CD pipelines

🏖️ Avantages

• Flexible remote work arrangement (Europe and the Americas only) • Collaborative, innovation-focused environment • Opportunity to shape the future of education