We’ve partnered with a leading global technology innovator that’s scaling a world-class AI engineering team here in Australia. This team is building a next-generation document-intelligence platform from the ground up, combining computer vision, NLP, and large-language-model research to solve some of the most complex problems in document automation and understanding.
This isn’t a “prompt-engineering” or fine-tuning role.

It’s true deep-tech! building foundational AI systems alongside top ML minds in the US and Australia, backed by a significant R&D budget and a clear mandate for innovation.

What You’ll Do

• Design, build, and train AI models for NLP, LLMs, OCR and object detection
• Develop and optimise core model architectures, nothing pre-built or off-the-shelf
• Collaborate with global researchers, principal engineers, and data scientists
• Contribute to a new AI platform driving document intelligence at enterprise scale
• Work across the full lifecycle: experimentation → model design → deployment → evaluation

Tech Environment

• Python, PyTorch, TensorFlow
• YOLO / Object Detection, Transformers / LLMs
• Computer-vision pipelines & custom training infrastructure
• Experience with NLP, OCR, or multimodal architectures is highly regarded

What We’re Looking For

• Proven experience building end-to-end ML models from scratch
• Strong foundation in deep learning, NLP, or CV research
• Comfortable working across uncharted, R&D-heavy environments
• Hands-on, curious, and experimental—comfortable with ambiguity
• Bonus: publications, open-source contributions, or PhD in a relevant field

Why Join

• Greenfield architecture (no legacy systems)
• Multi-million-dollar R&D investment and genuine global scale
• Work directly with some of the world’s top AI researchers and engineers
• Operate at the bleeding edge of applied AI
• Flexible hybrid setup; Australia-based team with strong US collaboration

If you’re a proven Machine Learning Engineer who’s built real systems (not just used pre-trained ones) and you want to help define the future of applied AI, we’d love to chat.

Send a message or your CV for a confidential discussion.