Top Machine Learning Jobs in Sydney

As a Software Engineer Intern, you'll create tech tools for trading, develop data research platforms, and work collaboratively in teams.

As a Software Engineer at Rokt, you will design and build AI-driven ecommerce solutions, optimize performance, and drive revenue growth while collaborating with cross-functional teams.

Lead the design and implementation of perception and planning algorithms for autonomous vehicles, enhancing their navigation and operation capabilities.

Develop large-scale machine learning systems for real-time predictions, optimize ML pipelines, and collaborate with researchers to enhance ML capabilities.

The AI Solution Architect will develop and implement AI systems, prototype LLM-based solutions, and integrate AI tools into workflows, driving transformation in software delivery at Ordermentum.

Design and manage large-scale SaaS and cloud services, providing technical leadership and improving engineering practices, with a focus on user experience.

The Systems Engineer will apply engineering principles and AI tools to improve medical devices through systems engineering across their lifecycle, ensuring regulatory and technical compliance and enhancing operational processes.

As a Senior Software Engineer at Neara, you will design and implement features, working on digital twins, API services, and infrastructure resilience analysis.

The Research Engineer will develop models and prototypes in AI, ML, and optimization, assist in product analysis and specification writing.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

As a Software Engineer, you'll enhance the user experience of ML tools, optimize workflows, and collaborate with product managers on ML infrastructure projects.

Lead a cross-functional team to develop and implement AI products, focusing on Large Language Models and enhancing client solutions.

Design and implement ML solutions, fine-tune and integrate LLMs, and collaborate on deploying intelligent features in production environments.