ML Growth Engineer

We are DeweyLearn, Inc., an Education Tech startup on a mission to revolutionize the education landscape. We’re building something extraordinary and are seeking exceptional engineers to join us on this journey. This is a unique opportunity to shape the future of education technology from the ground up. 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 General requirements: You’re a curious technologist at heart. You like understanding how things work, and you enjoy exploring new tools, approaches, and ideas 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 Technical Requirements: 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 Flexible remote work arrangement (Europe and the Americas only) Collaborative, innovation-focused environment Opportunity to shape the future of education Join us in building the future of education technology. If you're passionate about creating innovative solutions and want to be part of something groundbreaking, we want to hear from you.