
Advanced AI Model Developer
4 days ago
AI Model Engineer
This is a deep engineering role where you will work on building sovereign foundation models from scratch.
As an AI model engineer, you'll be part of the team that makes this real. You'll work on both sides of the problem: how models are trained and how they run in the world.
You'll design and build the systems that power large-scale training runs and efficient inference. You'll work closely with our AI researchers to implement the latest algorithms and ideas.
The team operates its own GPU clusters, runs large-scale training, and works closely across research and engineering to push the frontier of what's possible.
- Design efficient inference systems that run these models in real-world environments
- Optimize data pipelines, tokenization, batch prep, and distributed training at multi-node scale
- Build deep observability into training and inference, improving performance, correctness, and efficiency
- Debug and troubleshoot the hardest parts of model training and deployment, including distributed failures, GPU bugs, data inconsistencies, and scaling limits
- Work closely with AI researchers to translate cutting-edge algorithms into working systems
- Establish strong ModelOps practices to ensure reproducibility, reliability, and continuous improvement across the full lifecycle of foundation models, from initial experiments to production deployment
Requirements:
- Passionate about how models are built, trained, and run, especially large-scale foundation models
- Driven by curiosity about model internals, training dynamics, and system-level performance
- Excited to work across both training and inference, not just one side of the ML stack
- Skilled in Python and ML frameworks like PyTorch or JAX. Familiarity with distributed compute (CUDA, Triton, NCCL, etc.) is a bonus but not required
- Constantly learning, whether it's reading open-source repos, replicating research ideas, or designing your own tools to explore a problem
- Hands-on and determined. You like writing code, running experiments, and figuring things out
- Motivated to help build sovereign AI capability here in Australia
Why Choose This Role?
- Care about model internals, not just outputs
- Build things that work, at scale
- Take pride in learning, experimenting, and shipping
- Want to help Australia build independent, world-class AI systems
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