Machine Learning Data Engineer

We are seeking a Machine Learning Data Engineer who combines expert-level infrastructure skills with a strong knowledge of AI & Machine Learning principles . In this role, you will go beyond simple data validation scripts; you will apply your understanding of model training dynamics to design and implement existing and novel approaches to optimize our datasets.

You will build and maintain large-scale image and video pipelines, but with a focus on data curation strategies —such as coreset selection, embedding-based filtering, and automated complexity scoring. You’ll partner closely with our ML engineers to orchestrate ingestion, synthetic data generation, and versioned releases, ensuring that every dataset is not only high-integrity and available but strictly optimized to maximize model performance.

Design and own end-to-end image+video pipelines for computer vision model training: multi-source ingestion, QA and visualization, standardization, and organization.

Design and implement existing and novel approaches to optimize datasets for model training (e.g., hard example mining, class balancing, de-duplication, embedded-based filtering).