Top Machine Learning Jobs in Sydney

As a Machine Learning intern, you will develop machine learning models and translate business problems into technical solutions, working within a multi-functional team.

The Principal Machine Learning Engineer will tackle complex problems, collaborate across teams, mentor juniors, and lead code deliveries in Jira AI.

The role involves building ML models for detecting fraud, collaborating with teams, and contributing to modeling capabilities within Cash App's Risk ML team.

Build machine learning models to detect fraud in real time, collaborate across teams, and enhance modeling capabilities at Cash App.

The Senior Software Engineer will discuss and research features, write code and documentation, and engage with the community on platforms like GitHub and Discord. Strong Python skills and excellent communication are essential.

As a Software Engineering Intern, you will own and ship meaningful projects, receive mentorship, and collaborate with global teams to solve complex problems using various technologies.

As an AI Research Engineer, you will build and evaluate AI-driven code generation systems, improve workflows, and collaborate with teams to enhance product efficiency.

As a Full-Stack Product Engineer, you will design and implement user and developer tools, collaborate with teams, and improve AI-powered development tools.

Manage NVIDIA's technical engagements in AI/ML applications, evangelize technologies, and influence developers and technical communities across Southeast Asia, Australia, and New Zealand.

Technical Consultants at Alteryx support enterprise solutions, advise on architecture, and guide customers in deploying Alteryx products, requiring cloud expertise and language skills.

Join Tricentis as a Machine Learning Engineer to design machine learning systems, embed them into .NET applications, and solve customer problems using AI/ML.

As a Machine Learning Engineer, you'll design, develop, and deploy ML models while collaborating with cross-functional teams to enhance data-driven solutions.

The Senior Machine Learning Engineer at EML will design, develop, and optimize AI models for audio tasks, collaborate with engineers, and implement cutting-edge algorithms.

The Senior Machine Learning Developer designs and optimizes ML models for site planning tools, building scalable solutions and leading collaborative projects.

Develop and deploy scalable AI models, optimize machine learning algorithms, collaborate with teams, and improve model performance within cloud environments.

The Staff Machine Learning Engineer will build and maintain ML models, optimize data pipelines, lead MLOps practices, and collaborate with teams to deliver AI solutions.

The ML Ops Engineer will set up and support ML bot inference in live environments, implement CI/CD for ML solutions, and enhance ML inference logic.