Discover the necessary skills, daily job duties, and salary potential of a machine learning researcher. Dive into statistics surrounding industry growth, employment opportunities, and commonly held qualifications.
Machine learning researchers focus on the data-driven aspects of AI technology; performing both data engineering and modelling tasks. Data engineering responsibilities may include defining a project’s data requirements, then collecting, analysing, cleaning, and moving this information as necessary. Data modelling, on the other hand, involves tasks such as training machine learning models, assessing hyperparameters, and defining its evaluation metrics.
Such professionals play a vital role in any AI development project lifecycle, typically working alongside data analysts and software engineers.
Those in the field require a thorough knowledge of data science, programming, and query languages. As researchers, staying up to date with the latest industry developments is mandatory – with online articles, social media channels, and conferences as common sources of new information.
According to the latest findings by CSIRO’s Data61, those in AI development (such as machine learning researchers) have plenty of career opportunity, now and into the future. Their research predicts an estimated demand for 32,000 to 161,000 employees in robotics, data science, computer vision, and various other areas of AI expertise by 2030.
- Experience in modelling and data engineering in Python
- Experience in common collaborative and workflow tools – including integrated development environments (IDEs), command line interfaces (i.e. Unix), and version control systems (i.e. Git and Mercurial)
- Excellent communication and teamwork skills to effectively collaborate with other AI specialists
- Strong research skills for staying updated on industry trends and developments
- Ability to research, collect, organise, and analyse vast data sets
- Strong mathematics, statistics, and programming skills
As a subset of software/application programmers, machine learning resarchers can find work in most regions of Australia, with New South Wales and Victoria currently holding the largest share of workers. Weekly salary potential is currently higher ($2,003) than the all job average ($1,460) with plenty of opportunity for full-time work.
$67,000 – $132,000 (Median: $97,000)*
Average Weekly Hours
41 hours (vs. all jobs average of 44 hours)*
*Source: Job Outlook
Professional, Scientific and Technical Services; Financial and Insurance Services; and Public Administration and Safety
Most Common Qualification Level
55.9% hold a Bachelor’s Degree
Getting the skills you need is simple by studying one of our information technology courses below.
- Certified Artificial Intelligence Professional
- ICT40120 – Certificate IV in Information Technology (Networking)
- ICT50615 – Diploma of Website Development
- ICT50118 – Diploma of Information Technology
- Certified Cyber Security Professional
- Certified Data Science Professional
- Certified Microsoft Full Stack Developer
- Cloud Computing Certified Professional
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THE GLOBAL AUTHORITY ON DIGITAL MARKETING CAPABILITY
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GLOBAL ACCREDITATION BODY FOR SCRUM AND AGILE CERTIFICATIONS
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BUILDING VICTORIA’S DIGITAL WORKFORCE
DDLS and the Australian Institute of ICT (AIICT) were recently successful in becoming an approved training provider of the Victorian Digital Jobs Program which is a 6-month program that takes experienced mid-career Victorians and helps them transition into digital careers.
TRANSITION TO A MEANINGFUL CAREER IN TECH
Microsoft and AIICT are committed to empowering transitioning Australian Defence Force (ADF) service members and former serving/already separated members through relevant training that leads to meaningful careers in tech.