Ground every answer in facts on this page and the original listing. We never invent Glassdoor-style reviews or salaries that are not in our data.
Be ready to model a real problem for computation, design software for creative/document tooling, and explain how you prioritize ambiguous AI work with stakeholders.
Best fit if you like applying AI inside creative-tooling and open-source product constraints; public company signal here is mainly the Calligra/Karbon wiki profile.
As Senior AI Engineer at Karbon, a typical day means analyzing hard product/engineering problems in Calligra’s graphics stack, designing software that applies new computing methods, building mathematical models for technical issues, scheduling priorities, and aligning with managers and collaborators.
The listing sets remote to no, so plan for work tied to the stated Melbourne/Wellington-area location.
Karbon is Calligra’s vector graphics application within KDE’s graphic art and office suite.
freeCodeCamp and Saylor Academy are free; CS50 and Microsoft Learn are free to learn.
Public-domain labor data — prepare examples for 2–3 of these.
Website: calligra.org/karbon
Calligra Suite is a graphic art and office suite by KDE. It is available for desktop PCs, tablet computers, and smartphones. It contains applications for word processing, spreadsheets, presentation, databases, vector graphics, and digital painting.
Public cache only — not an employee review.
Senior AI Engineer at Karbon in Melbourne, Melbourne Region About the Role Karbon is seeking a Senior AI Engineer to join our team. As an integral part of our development group, you will be responsible for driving innovation and enhancing our AI capabilities within our practice management software. This role requires a deep understanding of machine learning algorithms and their application in real-world scenarios. Your Responsibilities Develop and maintain advanced AI models to improve user experience and efficiency in accounting practices. Collaborate with cross-functional teams, including product management, design, and data science, to ensure alignment on project goals and deliverables. Conduct thorough testing of AI solutions to guarantee high performance and reliability. Stay updated with the latest advancements in AI technology and integrate them into our platform as appropriate. Skills & Qualifications Minimum 5 years of experience in AI/ML, specifically in areas such as natural language processing, computer vision, or predictive analytics. Demonstrable expertise in Python and other programming languages commonly used for machine learning (e.g., R, MATLAB). A strong understanding of statistical methods and data analysis techniques. Experience with cloud platforms like AWS, Azure, or GCP is a plus. Excellent problem-solving skills and the ability to work independently as well as in a team environment. More About Karbon Karbon is the global leader in AI-powered practice management software for accounting firms. Our award-winning cloud platform helps tens of thousands of accounting professionals work more efficiently and collaboratively every day, with customers in 40 countries. We have grown into a globally distributed team across the US, Australia, New Zealand, Canada, and the United Kingdom. Apply Today To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there.
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