Software Engineer (Machine Learning & Multimodal AI)
The Opportunity
The School of Computer Science and Engineering is seeking a Software Engineers to contribute to the development of innovative machine learning solutions using deep learning and multimodal foundation models. Working closely with leading researchers, you will lead the design, development, and implementation of advanced prototype systems that demonstrate practical outcomes for complex reasoning and understanding tasks. This role offers the opportunity to combine software engineering with cutting-edge AI research, including model development, benchmarking, evaluation, optimisation, and infrastructure design, while supporting high-impact projects in a collaborative and fast-paced environment.
This is an opportunity to join a global leader in Computer Science, with cutting-edge facilities, world-class faculty, and an innovative research environment. You will contribute to the development of next-generation AI solutions while helping to translate cutting-edge research into practical outcomes with real-world impact.
We are seeking an experienced software engineer with expertise in machine learning, deep learning, and multimodal AI systems. You will bring strong technical skills in Python and modern deep learning frameworks, together with the ability to develop, evaluate, and optimise complex AI solutions. You will be comfortable working independently and collaboratively within multidisciplinary teams, communicating complex technical concepts to diverse stakeholders, and contributing technical leadership to challenging research and development projects.
This role reports to Prof Flora Salim and has no direct reports.
- Salary, Level 7: $ 113,926 to $ 123,301 per annum + 17% superannuation
- Full time
- Fixed term – 3 years
- Location: Kensington – Sydney, Australia
- Australian citizenship required for project eligibility
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