Somos una startup de 28 personas con sede en Ciudad de México, pero trabajamos completamente en remoto con compañeros en Argentina, Colombia, España y Canadá. Construimos una plataforma de personalización para e-commerce en América Latina — recomendaciones de productos, búsqueda semántica, segmentación de usuarios — y estamos creciendo rápido. Hemos levantado nuestra Serie A y acabamos de cerrar contratos con dos de los cinco retailers más grandes de la región. Buscamos un Junior AI Engineer que quiera crecer con nosotros. No te vamos a pedir experiencia que un junior no puede tener. Te vamos a pedir curiosidad, ganas de aprender, y la honestidad para decir «no sé» cuando no sabes y «me interesa entender esto mejor» cuando algo te genera dudas. Nuestro stack es Python, FastAPI, PyTorch, y PostgreSQL. Trabajamos en inglés técnicamente, pero somos un equipo completamente bilingüe. Si acabas de graduarte, completaste un bootcamp, o tienes proyectos personales que puedas mostrarnos, nos gustaría conocerte. // We're a 28-person startup based in Mexico City, fully remote across Latin America, Spain, and Canada. We build an AI personalization platform for e-commerce in the region. We just closed our Series A and signed two of the five largest retailers in Latin America. We want a Junior AI Engineer who is curious, honest about gaps, and ready to grow fast with a supportive team. The work is real, the team is warm, and the learning curve is steep in a good way.
Responsibilities
Support senior engineers in building and evaluating recommendation and ranking models
Write data preprocessing scripts and feature engineering pipelines under senior guidance
Participate in model evaluation sessions and document results clearly
Help maintain our internal ML tooling and experiment tracking setup
Ask good questions, contribute ideas in sprint reviews, and grow — that's literally part of the job description
Requirements
Python fundamentals — you can write clean functions, work with APIs, and debug your own code
Basic familiarity with PyTorch or TensorFlow — a personal project, a university course, or a Kaggle competition counts
SQL for querying and exploring data from relational databases
Understanding of ML fundamentals: train/test splits, overfitting, evaluation metrics — you can explain them, not just run them
Comfort working fully remotely and communicating clearly in English and/or Spanish
Any portfolio project involving real data or a deployed ML model is a strong plus
Benefits
Supportive team that takes junior development seriously — you'll have a dedicated mentor
Fully remote, async-first, flexible hours within a 4-hour overlap with CDMX time
$38,000 – $52,000 USD base salary (location-adjusted)
$500 learning budget on joining
Bilingual team — work in English, joke in Spanish, both are fine