Top Machine Learning Jobs in Melbourne

Lead the design and implementation of algorithms for autonomous vehicles, enhancing their navigation and operation through advanced technologies, while collaborating with interdisciplinary teams and mentoring junior engineers.

Seeking a Principal Software Engineer to lead engineering efforts in creating innovative banking solutions, driving collaboration and technical excellence within the team.

Lead the architectural direction of AI-powered systems, drive technology strategy, mentor engineers, and promote innovation through collaboration across squads.

The Reserve Engineer maintains and services robotic hardware, responds to failures at client sites, and ensures customer satisfaction. Responsibilities include learning hardware, communicating repairs, and assisting with deployment projects.

Lead a team of AI/ML engineers to develop and optimize Zendesk's AI/ML platforms, focusing on LLM integration and scalability while ensuring alignment with the company's strategic goals.

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

As a Senior MLOps Engineer, you will enhance machine learning operations, drive architectural decisions, optimize CI/CD pipelines, and mentor junior engineers.

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.