Data Scientist / Machine Learning Engineer

About Us

Canibuild automates the residential construction industry’s design, approval, and sales processes, allowing clients to answer 'Can I build this on this plot of land?' instantly. As a fast-growing SaaS platform backed by Australia’s largest hedge fund, we serve clients across Australia, New Zealand, Canada, and the US.

Job Overview

We are seeking a highly skilled Data Scientist / ML Engineer across levels with a strong background in Natural Language Processing (NLP) and Computer Vision. The ideal candidate should have 4+ years of experience working with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Vision-Language Models (VLMs), and segmentation techniques. You will work closely with our product and engineering teams to develop and deploy AI-driven solutions that enhance our property-tech ecosystem.

Key Responsibilities

• Design, develop, and deploy machine learning models focused on NLP and Computer Vision for property-related applications.
• Implement and fine-tune LLMs for tasks such as document processing, chatbot automation, and property insights.
• Build and optimize RAG pipelines to improve the accuracy and relevance of information retrieval in real estate data.
• Develop computer vision models for segmentation, object detection, and VLM applications to enhance image and video analysis.
• Work with structured and unstructured real estate data, including property listings, legal documents, and geospatial data.
• Collaborate with cross-functional teams to integrate AI models into scalable production systems.
• Stay up to date with the latest advancements in AI research and apply best practices to solve real-world challenges.
• Optimize models for performance, efficiency, and deployment in cloud and edge environments.