Building Datasets for Sovereign AI
1 week ago
Job Title: Senior Data Engineer
We're building sovereign AI models in Australia from the ground up. We train foundation models, design new reasoning architectures, and deploy them on cutting-edge GPU clusters. Our models run on datasets we create ourselves, curated, cleaned, and engineered for high performance at scale.
You'll lead the design and construction of these datasets as a Senior Data Engineer. You'll work hands-on to source, clean, transform, and structure massive amounts of raw data into training-ready form. You'll design the architecture that powers data ingestion, validation, and storage for large-scale AI training.
This is a deep technical role that requires you to think like both a data scientist and a systems engineer. You'll design for correctness, scalability, and future proofing. If you want to build the datasets that power sovereign AI from first principles, this is your opportunity.
- Design and build large-scale data ingestion and curation pipelines
- Source, filter, and process diverse data types
- Implement robust quality control and validation systems
- Architect storage and retrieval systems
- Build tooling to track dataset lineage and reproducibility
- Collaborate with AI Researchers and Engineers
- Continuously improve ingestion speed and data freshness
About Us: We're a small team building advanced AI systems in Australia. We create new foundation models from scratch and build the datasets they run on from the ground up. We operate our own GPU clusters and integrate research and engineering closely to push the frontier of what's possible.
What You'll Get: You'll be surrounded by people who care deeply about data quality and architecture, build systems that scale reliably and repeatably, take pride in learning and experimenting, and want to help Australia build independent, world-class AI systems.
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