AI/ML Engineer

Responsibilities:

• Conducting applied research in AI/ML, data analytics, and computational modelling.
• Designing, developing, and evaluating algorithms, models, and prototypes.
• Applying ML to structured and unstructured data sources, including multimodal or real-time streams.
• Supporting research on AI assurance, interpretability, adversarial robustness, or policy implications.
• Collaborating with interdisciplinary teams, including behavioural scientists, domain experts, and systems engineers.
• Preparing technical deliverables and briefings for government stakeholders.
• Contributing to the preparation of research proposals and technical work plans.

Qualification:

• PhD plus 5 years of research experience, or at least Mater of Science plus 10 years of engineering research experience including success capturing and leading large projects, or a Bachelor of Science plus 15 years of relevant experience and a record of significant engineering achievement and show promise of continued productivity
• Initiate new projects with long-term research goals, tackling more complex problems than an Assistant Research Engineer, leading work on multiple, concurrent projects, and managing cross-functional engineering teams
• Serve as Principal Investigator or having primary responsibility for a significant part of a project
• Interact with sponsor/customers
• Expected to identify funding opportunities and serve as Principal Investigator on large proposals
• Generate significant intellectual property that may be licensed by third parties
• Mentor junior staff and Professional Track Faculty Specialists and participating in their promotion sub-committees
• Recognized as an authoritative subject matter expert and receive commensurate recognition