Remote Ml Engineer (Ciudad De México)

Overview
Role Overview: We are looking for experienced Machine Learning Engineers (MLE Bench) to contribute to benchmark-driven evaluation projects focused on real-world machine learning systems. This role involves hands-on work with production-grade ML codebases, model training and evaluation pipelines, and deployment-oriented workflows to help assess and improve the capabilities of advanced AI systems. The ideal candidate is comfortable bridging research and engineering, working deeply with models, data, and infrastructure in realistic ML environments.
Responsibilities
Work with real-world ML codebases to support MLE Bench–style evaluation tasks.
Build, run, and modify model training, evaluation, and inference pipelines.
Prepare datasets, features, and metrics for ML benchmarking and validation.
Debug, refactor, and improve production-like ML systems for correctness and performance.
Evaluate model behavior, failure modes, and edge cases relevant to benc...