ML Growth Engineer

About the role

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.

Responsibilities

• 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