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.

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.

The Research Engineer develops models and prototypes using AI, ML, and optimization to solve supply chain problems and quantify business value.

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

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

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 Research Engineer focuses on developing mathematical models and algorithms for supply chain problems, leveraging AI and machine learning.

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 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.

The MLOps Engineer will operationalize ML and AI solutions, manage ML pipelines, implement CI/CD processes, monitor deployed models, and collaborate with teams to integrate AI products.

Lead SafetyCulture's AI/ML strategy, transforming frontline work through innovative technology, data insights, and predictive modeling while building a high-performance team.

The Senior Machine Learning Engineer will design and implement ML pipelines, automate testing frameworks, and contribute to model performance evaluations.

As a Senior Machine Learning Engineer, you will develop MLOps pipelines, manage cloud infrastructure, optimize model deployment, and collaborate across teams to enhance AI products.

Work with product managers to enhance ML workflows and tools. Drive improvements in DVC's entry point and optimize ML practices.

As a Solutions Architect in AI/ML, you will design, build, and deploy machine learning pipelines on Snowflake, collaborating with customers and internal teams.

As a software engineer, you'll develop end-to-end data analytics and ML solutions, working with open-source tools and collaborating remotely with global teams.

As a Senior Machine Learning Engineer, you will build and optimize MLOps pipelines, integrate cloud services, automate data workflows, and deploy machine learning models, collaborating with diverse teams to enhance AI product development.