Top Machine Learning Jobs in Sydney

Senior Robotics Engineers lead the development of autonomous vehicle perception and planning systems, collaborating with various engineering teams to implement advanced capabilities in Anduril products.

Staff Robotics Engineers lead the design and implementation of vehicle perception and planning systems for autonomous platforms, ensuring integration and success across diverse teams and technologies.

Robotics Engineers at Anduril develop autonomous vehicle perception and planning capabilities, focusing on system integration, algorithm validation, and collaboration with cross-functional teams, ensuring the advancement of military technology.

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.

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

The Lead Software Engineer will design and implement AI and data solutions, manage client relationships, lead teams, and drive business impact through technology.

As a Senior Software Engineer at Vow, you'll develop software systems for low-cost cell culture processes, focusing on operations and factory software to improve efficiency and automate production decisions, while collaborating with a diverse team.

As a Senior Software Engineer, you will design and implement features focused on digital twins, API development, and engineering simulations. You'll enhance algorithms, improve monitoring, and create tools for efficient data extraction and network design viability assessments.

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

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.

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.