Quantum Machine Learning Scientist

Silicon Quantum Computing (SQC) is at the forefront of global efforts to build the world’s first commercial-scale quantum computer, while delivering quantum-enhanced AI and simulation products to customers today.

Backed by over 25 years of technological excellence, SQC is a full-stack quantum computing company that leverages its proprietary manufacturing process to engineer atomic qubits in silicon with 0.13 nanometer precision. It is the most precise semiconductor manufacturing in the world, enabling systems with world-leading algorithmic fidelity, and a decisive advantage in the global quantum computing race.

Our products are commercially deployed and generating revenue. Watermelon, our quantum-enhanced AI system, is delivering superior results on real-world problems across energy, telecom and finance. Quantum Twins, our simulation platform, provides unparalleled ability to model quantum systems, accelerating molecule and materials discovery.

This is SQC: building the future of computing while delivering quantum impact today.

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

Equal opportunity

SQC is an equal opportunity employer. We value diverse perspectives and experiences, and encourage applications from candidates who may not meet every listed requirement. If you’re excited about the role and believe you can contribute, we encourage you to apply.

Export controls

This position may require access to export-controlled information or technology. Employment may be subject to applicable export control laws and may require eligibility assessment based on factors such as nationality, citizenship, or residency, and, where necessary, obtaining relevant export licenses or approvals.

About SQC

SQC was founded by renowned physicist and materials scientist Michelle Simmons, who pioneered the field of atomic electronics, including the development of the world’s first single-atom transistor and the first integrated circuit built with atomic precision. Our Chair, Simon Segars, former CEO of Arm, is a leader in the semiconductor industry and was instrumental in developing the processors that powered the mobile computing revolution.