Quantum Machine Learning Scientist

About the role

We are hiring a Quantum Machine Learning Scientist to design and deliver advanced machine learning solutions that draw on both classical and quantum computing. Based at our Sydney facility, you will work within the Software Engineering team alongside quantum engineers, hardware specialists, and customer organisations to build data-driven models that solve high-impact problems.

This role suits someone who thrives on extracting insight from complex datasets and is drawn to applying advanced approaches to real-world challenges. You will work with internal and external teams to deliver tailored, outcome-driven solutions across industries including telecommunications, defence, finance, and pharmaceuticals. You will also sit close to our quantum machine learning work, including our Watermelon chip, with room to get involved as your interests take you.

Role responsibilities

• Design, develop, and deploy machine learning models for classification, prediction, and optimisation
• Collaborate with internal teams and external customers to define use cases and deliver fit-for-purpose solutions
• Translate business requirements into technical problem statements and modelling strategies
• Build and optimise data pipelines for large-scale analytics and machine learning workflows
• Advise customer teams on model selection, tuning, and integration with advanced computing platforms
• Opportunity to work alongside quantum physicists and software engineers on quantum-enhanced data science techniques
• Evaluate tools, frameworks, and methodologies to improve performance and scalability

Your experience

• Bachelor's, Master's, or PhD in Computer Science, Data Science, Mathematics, Engineering, or a related field
• Proven track record developing and deploying machine learning models with measurable impact
• Strong grounding in statistical modelling, machine learning algorithms, and optimisation techniques
• Proficiency in Python and libraries such as pandas, NumPy, scikit-learn, TensorFlow, or PyTorch
• Experience with cloud platforms (AWS, Azure, or Google Cloud) and big data technologies
• Familiarity with data engineering practices and pipeline development
• Strong communication skills and the ability to collaborate across technical and non-technical teams
• Exposure to quantum computing concepts is desirable but not essential