Machine Learning Engineer Salary in Australia during 2024

Salary details

The average Machine Learning Engineer salary lies between USD 160,000 and USD 235,000 in Australia. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Dec. 1, 2024

Salary trend

Top 20 Job Tags for Machine Learning Engineer roles

The three most common job tag items assiciated with Machine Learning Engineer job listings are Machine Learning, Python and Engineering. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:

Machine Learning | 5941 jobs Python | 4362 jobs Engineering | 4279 jobs Computer Science | 3431 jobs ML models | 3091 jobs PyTorch | 2827 jobs TensorFlow | 2604 jobs Research | 2346 jobs Pipelines | 2239 jobs Deep Learning | 2228 jobs NLP | 2009 jobs AWS | 1945 jobs LLMs | 1836 jobs Statistics | 1812 jobs Architecture | 1641 jobs Testing | 1447 jobs Spark | 1314 jobs SQL | 1286 jobs PhD | 1256 jobs Mathematics | 1234 jobs

Top 20 Job Perks/Benefits for Machine Learning Engineer roles

The three most common job benefits and perks assiciated with Machine Learning Engineer job listings are Career development, Health care and Equity / stock options. Below you find a list of the 20 most occuring job perks or benefits in 2024 and the number of open jobs that where offering them during that period:

Career development | 5134 jobs Health care | 2773 jobs Equity / stock options | 2278 jobs Flex hours | 1654 jobs Flex vacation | 1593 jobs Startup environment | 1474 jobs Parental leave | 1373 jobs Competitive pay | 1346 jobs Salary bonus | 1321 jobs Medical leave | 1294 jobs Insurance | 1263 jobs Team events | 1033 jobs 401(k) matching | 878 jobs Conferences | 677 jobs Flexible spending account | 597 jobs Wellness | 557 jobs Home office stipend | 434 jobs Transparency | 294 jobs Relocation support | 264 jobs Unlimited paid time off | 177 jobs

Salary Composition for Machine Learning Engineers in Australia

The salary for a Machine Learning Engineer in Australia typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually forms the largest part of the total compensation package. Performance bonuses can vary significantly depending on the company’s policy and the individual's contribution to projects. Additional remuneration might include stock options, especially in tech companies or startups, and benefits like health insurance, retirement plans, and professional development allowances.

The composition can vary based on several factors:

• Region: Salaries in major cities like Sydney and Melbourne are generally higher due to the cost of living and the concentration of tech companies.
• Industry: Tech companies, especially those in AI and data-driven sectors, tend to offer higher salaries compared to traditional industries.
• Company Size: Larger companies may offer more comprehensive benefits and bonuses, while startups might offer equity as part of the compensation package.

Steps to Increase Salary from a Machine Learning Engineer Position

To increase your salary from a Machine Learning Engineer position, consider the following strategies:

• Specialize in High-Demand Areas: Focus on niche areas within AI/ML, such as deep learning, natural language processing, or computer vision, which are in high demand.
• Pursue Advanced Education: Obtaining a master's or Ph.D. in a relevant field can open up higher-paying opportunities.
• Gain Leadership Experience: Transitioning into roles like a team lead or project manager can increase your earning potential.
• Network and Build a Personal Brand: Attend industry conferences, contribute to open-source projects, and publish research to enhance your visibility and reputation.
• Negotiate Offers: Always negotiate your salary and benefits when receiving a job offer or during performance reviews.

Educational Requirements for Machine Learning Engineers

Most Machine Learning Engineer positions require at least a bachelor's degree in computer science, data science, mathematics, or a related field. However, many employers prefer candidates with a master's degree or Ph.D. due to the complex nature of the work. Advanced degrees often provide deeper knowledge and research experience, which are valuable in developing sophisticated machine learning models.

Helpful Certifications for Machine Learning Engineers

While not always mandatory, certifications can enhance your resume and demonstrate your expertise. Some valuable certifications include:

• Google Professional Machine Learning Engineer
• AWS Certified Machine Learning – Specialty
• Microsoft Certified: Azure AI Engineer Associate
• TensorFlow Developer Certificate

These certifications validate your skills in specific platforms and tools, making you more attractive to potential employers.

Experience Required for Machine Learning Engineers

Typically, employers look for candidates with 2-5 years of experience in related fields such as data analysis, software engineering, or data science. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python, R), and data manipulation tools (e.g., SQL, Pandas) is crucial. Practical experience through internships, projects, or previous roles is highly valued.

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