ML Growth Engineer

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DeweyLearn, Inc.

WebsiteLinkedInAll Job Openings

1 - 10 employees

📚 Education

🤖 Artificial Intelligence

☁️ SaaS

Education • Artificial Intelligence • SaaS

DeweyLearn, Inc. is an AI-powered teaching assistant and analytics platform that uses multimodal data (text, voice, interaction and classroom sensor inputs) to deliver real-time insights on student engagement, collaboration, and cognitive complexity. It helps K–12 schools, higher education, tutoring providers, and corporate trainers identify learning gaps, monitor group dynamics, and receive actionable recommendations via a chatbot interface, while emphasizing teacher-centered support, data privacy, and regulatory compliance.

📋 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

🎯 Requirements

• 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

🏖️ Benefits

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