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.