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Software Engineer (Machine Learning & Multimodal AI)

UNSW Sydney

SKIPPED

Details

Date Published
7 Apr 2026
Priority Score
3
Australian
Yes
Created
7 Apr 2026, 06:00 pm

Authors (1)

Description

Develop cutting-edge AI prototypes using Python, PyTorch, and multimodal foundation models to solve complex real-world problems.

Summary

This role involves developing cutting-edge multimodal foundation models and deep learning solutions within the UNSW School of Computer Science and Engineering. The position specifically seeks expertise in adversarial testing of foundation models, which is a critical methodology for identifying vulnerabilities and ensuring AI safety. The requirement for Australian citizenship and mention of defense use-cases suggests the work relates to high-stakes or secure national interest applications of frontier AI. Such technical roles are essential for building the domestic capacity required to evaluate and mitigate the catastrophic risks associated with advanced multimodal systems.

Body

Job Search Applicant Login Job Alert Software Engineer (Machine Learning & Multimodal AI) Apply now Job no: 539354 Work type: Full Time Location: Sydney, NSW Categories: Information Technology The Opportunity The School of Computer Science and Engineering is seeking two 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 design, develop, and implement 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, evaluation, and optimisation, while supporting high-impact projects in a collaborative and fast-paced environment. Due to project requirements, Australian Citizenship is required for this role. This role reports to Prof Flora Salim and has no direct reports. Salary, Level 6: $103,866 to $110,801 per annum + 17% superannuation Full time Fixed term – 3 years Location: Kensington – Sydney, Australia Australian citizenship required for project eligibility About UNSW UNSW isn’t like other places you’ve worked. Yes, we’re a large organisation with a diverse and talented community; a community doing extraordinary things. But what makes us different isn’t only what we do, it’s how we do it. Together, we are driven to be thoughtful, practical, and purposeful in all we do. If you want a career where you can thrive, be challenged and do meaningful work, you’re in the right place. The School of Computer Science and Engineering is one of the largest and most prestigious schools of computing in Australia. It offers undergraduate programmes in Software Engineering, Computer Engineering, Computer Science, and Bioinformatics, as well as a number of combined degrees with other disciplines. Our research and teaching staff are world leading and world building as they advance knowledge and learning. For more information on our school go to the following link - https://www.unsw.edu.au/engineering/our-schools/computer-science-and-engineering Skills and Experience An undergraduate degree in computing, preferably with an Honours or thesis project, coupled with 2+ years of software development experience. Strong coding skills in Python, including deep learning libraries such as Transformers, Pytorch; statistical analysis packages. Good fundamentals in deep learning models in text, vision, audio or similar, demonstrated through academic courses or projects. Experience using GitHub/GitLab for Version Control. Experience creating prototype demonstrations including front-end development (streamlit, gradio, etc.), graph visualization (networkx), and model invocation. Experience with best practices in model comparison and evaluation with strong preference to past work in adversarial testing of foundation models. Excellent written and verbal communication skills, with a high level of attention to detail for deliverables produced. Excellent time management skills, with a demonstrated ability to respond to changing priorities, manage multiple tasks and meet competing deadlines by using judgement and initiative. Demonstrated ability to work collaboratively and productively within a team, but also to take initiative and work independently while managing competing demands. An understanding of and commitment to UNSW’s aims, objectives and values in action, together with relevant policies and guidelines. Knowledge of health & safety (psychosocial and physical) responsibilities and commitment to attending relevant health and safety training. Desirable Experience in defence use-cases. Additional details about the specific responsibilities for this position can be found in the position description. This is available via JOBS@UNSW. Pre-Employment ChecksAligned with UNSW’s focus on cultivating a workplace defined by safety, ethical conduct, and strong integrity, preferred candidates will be required to participate in a combination of pre-employment checks relevant to the role they have applied for. These pre-employment checks may include a combination of some of the following checks: National and International Criminal history checks Entitlement to work and ID checks Working With Children Checks Completion of a Gender-Based Violence Prevention Declaration Verification of relevant qualifications Verification of relevant professional membership Employment history and reference checks Financial responsibility assessments/checks. Medical Checks and Assessments Compliance with the necessary combination of these checks is a condition of employment at UNSW. To Apply: Please click the apply now button and submit your CV, Cover Letter and Responses to the Skills and Experience. You should systematically address the Skills and Experience listed within the position description in your application. Applicants must be Australian Citizens and be able to be on site in Kensington. Visa sponsorship is not available for this appointment. Please note applications will not be accepted if sent to the contact listed below. Contact: For role-specific inquiries, please contact Prof Flora Salim (Program Lead) E: flora.salim@unsw.edu.au For questions regarding the recruitment process, please contact Eugene Aves (Talent Acquisition Partner) E: eugene.aves@unsw.edu.au Applications close: 11:55 pm (Sydney time) on Tuesday 21 April 2026 UNSW is committed to evolving a culture that embraces equity and supports a diverse and inclusive community where everyone can participate fairly, in a safe and respectful environment. We welcome candidates from all backgrounds and encourage applications from people of diverse gender, sexual orientation, cultural and linguistic backgrounds, Aboriginal and Torres Strait Islander background, people with disability and those with caring and family responsibilities. UNSW provides workplace adjustments for people with disability, and access to flexible work options for eligible staff. The University reserves the right not to proceed with any appointment. Position Description Advertised: 07 Apr 2026 AUS Eastern Standard Time Applications close: 21 Apr 2026 AUS Eastern Standard Time Back to search results Apply now Refer a friend Whatsapp Facebook LinkedIn Email App Send me jobs like these We will email you new jobs that match this search. Great, we can send you jobs like this, if this is your first time signing up, please check your inbox to confirm your subscription. The email address was invalid, please check for errors. You must agree to the privacy statement Subscribe Recaptcha Privacy agreement Search results Position Location Closes Software Engineer (Machine Learning & Multimodal AI) Sydney, NSW 21 Apr 2026 Develop cutting-edge AI prototypes using Python, PyTorch, and multimodal foundation models to solve complex real-world problems. Expression of interest Loading... Current opportunities Position Location Closes Software Engineer (Machine Learning & Multimodal AI) Sydney, NSW 21 Apr 2026 Develop cutting-edge AI prototypes using Python, PyTorch, and multimodal foundation models to solve complex real-world problems. Powered by PageUp Job Search e.g. "Lecturer, Admin assistant" Refine Search Categories Information Technology 1 Locations Sydney, NSW 1 Work type Full Time 1 Faculty / Division Engineering 1 Careers at UNSW for Indigenous Australians Apply now for a career at UNSW to grow in an environment that values and uplifts you. Learn more