Data Engineer – ML Training Infrastructure

SpAItial is pioneering the development of a frontier 3D foundation model, pushing the boundaries of AI, computer vision, and spatial computing. Our mission is to redefine how industries, from robotics and AR/VR to gaming and movies, generate and interact with 3D content.

We’re seeking a Data Engineer to build the pipelines and infrastructure that fuel our large-scale model training. As the first engineer focused on data, you’ll shape the backbone of how we handle terabytes of multimodal training data (images, video, and 3D). This role is ideal for someone who thrives at the intersection of data systems and machine learning—designing reliable, scalable, and efficient ways to get high-quality data into cutting‑edge training runs.

Responsibilities

• Architect and manage data infrastructure for large-scale ML training datasets (e.g., Apache, Iceberg, Parquet, Spark).
• Build and operate ingestion pipelines for multimodal d...