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.
Tasks
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
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
Benefits
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.

Work arrangement
Yes