Top Machine Learning Jobs in Sydney
As a Senior Machine Learning Engineer at Rokt, you will collaborate with product managers and engineers to design, build, and productionise machine learning models for various business challenges. Key responsibilities include developing data processing pipelines, maintaining a high-quality codebase, and researching state-of-the-art deep learning models.
The Senior Machine Learning/MLOps Engineer will lead the development and integration of machine learning models and data pipelines for autonomous systems. Responsibilities include managing the machine learning lifecycle, collaborating with cross-functional teams, and ensuring effective system integration and testing.
Work as a Machine Learning Engineer - Inference to optimize model structure and hardware utilization, collaborate with researchers and engineers, and enhance performance of deep learning libraries.
In this role, you'll develop AI/ML strategies to enhance customer support, lead the creation of natural language understanding systems, and collaborate with product and engineering teams to deliver machine learning solutions. You'll also mentor other engineers and define the team's vision in AI.
As a Senior Machine Learning Engineer at Canva, you'll work within a cross-functional team to enhance design capabilities using AI. Your responsibilities include building design generation systems, advocating for engineering needs, automating design decisions, and facilitating collaboration across teams.
The Senior Machine Learning Engineer will lead ML projects, build AI/ML solutions for personalisation, create production-ready ML models, and collaborate with product teams to enhance user experiences. They will also improve existing models and develop MLOps tools, exploring cutting-edge AI technologies.
As a Senior Software Engineer in the Central AI team, you will build and support infrastructure for machine learning, lead projects from design to launch, and collaborate with multiple teams to enhance AI innovations across Atlassian products.
As a Principal Machine Learning Engineer, you will develop and implement advanced algorithms, mentor junior engineers, and collaborate with cross-functional teams to enhance Jira with AI functionalities. You will also conduct experimentation, model evaluations, and ensure the transformative potential of AI is realized in workflow collaboration.
Featured Jobs
The Staff Machine Learning Engineer will enhance the machine learning platform using AI and LLMs, collaborate with data scientists and engineers to support product teams, oversee machine learning best practices, and influence technical strategies while also coaching peers.
Develop and support libraries for accelerating training on a distributed environment, automating ML workflows, and leveraging GPU hardware. Evaluate and roll out third-party tooling and extend capabilities of open-source ML tools. Support the effective use of contested resources across a research team.
As a Software Engineer on the ML Platform and Operations team, you will enhance machine learning architecture and operational processes, collaborate with data scientists, manage machine learning pipelines, implement best practices, and stay updated on technologies.
As a Senior Machine Learning Engineer at Culture Amp, you'll enhance their machine learning platform and collaborate with teams to develop AI-driven features. Responsibilities include participating in code reviews, staying updated with ML advancements, and ensuring ethical AI practices. You'll influence team designs and contribute to building shared understanding within a remote-friendly environment.
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