Top Machine Learning Jobs in Sydney

Responsible for enabling customers to utilize LogicMonitor's products effectively, provide technical training, and collaborate with various teams to solve customer problems.

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.

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

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

As a Software Engineer at Atlassian, you'll develop and improve software solutions to enhance team collaboration. Responsibilities may include coding, debugging, and collaborating with other engineers.

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

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.

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

Develop and maintain software solutions, deploy applications on cloud platforms, integrate AI/ML models, and collaborate with teams in an Agile environment.

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.

The Senior Machine Learning Engineer will build scalable systems for ML data workflows, optimize backend services, and mentor engineers, focusing on software engineering.

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.