The Two-City Salary Gap
Sydney and Melbourne remain the two primary markets for AI engineering talent in Australia, yet compensation structures between the two cities continue to diverge in meaningful ways. Industry data from Glassdoor AU and ERI SalaryExpert puts the national average for AI Engineers at $130K-$153K, while Robert Half's salary guide shows the 25th percentile at $148K, median at $172K, and 75th percentile at $197K. At the senior level, AI and ML roles sit 40-60% above traditional software engineering bands, reflecting the scarcity of production-grade machine learning talent.
Sydney AI Engineers command a meaningful premium over their Melbourne counterparts, particularly at the senior end where Sydney's proximity to financial services headquarters and well-funded AI-native startups creates fierce competition. Sydney employers are more likely to be competing directly with international offers from Singapore, London, and US-based remote roles, which pushes local compensation upward. Melbourne's AI ecosystem, while growing rapidly, tends to be anchored in healthtech, edtech, and mid-market SaaS companies that operate with tighter compensation budgets.
Salary Bands by Level
Junior AI Engineers (0-2 years)
Nationally, junior AI Engineers earn approximately $91K-$110K base. Sydney sits at the upper end of this range, while Melbourne tends to fall toward the lower end. At this level, candidates typically have a relevant degree in computer science or data science, some exposure to PyTorch or TensorFlow, and may have completed internships involving ML model development. The talent pool is relatively deep at this level, with university pipelines producing well-prepared graduates.
Mid-Level AI Engineers (2-5 years)
Mid-level AI Engineers typically earn $148K-$170K nationally, aligning closely with the 25th-to-median range in Robert Half's data. Sydney roles tend to sit at the top of this band, with Melbourne roughly 10-15% lower. This is the most competitive bracket. Candidates with production ML experience, familiarity with MLOps tooling, and the ability to work autonomously on model fine-tuning and deployment are in extremely high demand. Employers who can move quickly at this level have a significant advantage.
Senior AI Engineers (5+ years)
Senior AI Engineers earn $189K-$200K+ nationally, with Sydney roles frequently exceeding $200K and Melbourne typically sitting in the $180K-$195K range. At this level, candidates are expected to architect end-to-end ML systems, mentor junior engineers, and make strategic decisions about model selection and infrastructure. Many senior AI Engineers are also being offered equity or performance-based bonuses that can add $30K-$80K in total compensation. These figures place senior AI roles 40-60% above equivalent senior software engineering bands.
Equity and Remote Premiums
Equity is becoming a standard component of AI engineering offers at startups, with early-stage companies typically offering 0.05%-0.25% for senior hires. Growth-stage companies are more likely to offer RSUs or phantom equity. In our experience, candidates increasingly want to understand the company's valuation methodology and vesting schedule before considering equity as meaningful compensation.
Remote premiums remain a contentious topic. Fully remote AI Engineer roles typically pay 5-8% less than equivalent in-office or hybrid positions in Sydney, though some companies frame this as location-adjusted pay rather than a discount. Melbourne-based candidates working remotely for Sydney-headquartered companies generally receive Melbourne-level salaries, not Sydney rates, which remains a source of friction in offer negotiations.
The strongest offers we see combine competitive base salary with meaningful equity, flexible location, and a clear technical growth path. Candidates are evaluating the full package, not just the number.