Maincode is building sovereign AI models in Australia. We are training foundation models from scratch, designing new reasoning architectures, and deploying them on state-of-the-art GPU clusters. This is not fine-tuning someone else’s work. This is building new systems from first principles.
As an AI Researcher, you’ll help design the next generation of foundation models. You'll explore novel model architectures, training objectives, and data representations that push the limits of what models can do. You’ll ask the hard questions: where do today’s systems fall short in reasoning, learning efficiency, or alignment, and how could we do better? Then, you'll prototype solutions to find out.
This is a deep applied research role. You'll write code to test your ideas, run experiments, and refine architectures until they show real-world potential. When your models are ready to scale, you’ll work side by side with our AI Engineers to take them from prototypes to large-scale training runs and deployed systems.
If you love reading the latest papers, imagining what could be better, and proving it with working models, you'll feel right at home here.
What you’ll do
Design and prototype new foundation model architectures, reasoning systems, and training algorithms
Explore better ways to represent data, design training objectives, and build models that reason, learn, and align more effectively
Build experimental models and pipelines to test your ideas on real-world data
Stay deeply engaged with state-of-the-art research in venues like NeurIPS, ICLR, and ICML, and think critically about where the field is heading and how we can push it further
Work closely with AI Engineers to transition prototypes into large-scale training and inference systems
Help shape the intellectual direction of our sovereign AI efforts in Australia, advancing the science of how models learn and reason
Contribute to a collaborative, open-minded team culture that values rigor, creativity, and building things that work
Who you are
An experienced researcher with deep academic or applied horsepower, whether from machine learning, physics, neuroscience, applied mathematics, or another rigorous field
Have built, trained, or experimented with deep learning models and are deeply curious about how to make them better
A regular reader and thinker in AI and machine learning research, with the ability to spot emerging trends, gaps in today’s models, and new directions to explore
Skilled in Python and machine learning frameworks like PyTorch, with a strong focus on hands-on experimentation
Comfortable turning abstract research questions into concrete model designs, experiments, and insights
Excited to work closely with AI Engineers to translate research into robust, scalable systems
Motivated to help build sovereign AI capability here in Australia
Why Maincode
We are a small team building some of the most advanced AI systems in Australia. We are creating new foundation models from scratch, not just using what’s already out there.
We operate our own GPU clusters, run large-scale training, and work closely across research and engineering to push the frontier of what’s possible.
You'll be surrounded by people who:
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
