Top Machine Learning Jobs in Sydney

As a Senior Engineering Manager, you will lead teams to develop systems for ingredient generation, collaborate with various departments, and nurture talent within the team. Responsibilities include road mapping, prioritizing technical projects, and enhancing team performance through effective communication and management.

As a Principal Software Engineer at Deputy, you will define and lead the technical direction, promote innovation and efficiency, mentor engineering teams, and collaborate with cross-functional groups to enhance product quality and scalability. You'll also drive discussions on architectural choices and ensure high standards in technical decisions.

The Senior Machine Learning Engineer will build and maintain ML infrastructure, oversee the development and deployment of models, design system architectures, conduct rigorous evaluation experiments, and guide junior engineers, all while collaborating with diverse teams to communicate results effectively.

As a Machine Learning Engineer at Canva, you'll lead ML platform projects from ideation to delivery, modernize AWS serving infrastructure, and optimize service efficiency by collaborating with various teams. Your role will involve improving developer experience and integrating scaling ML systems into existing engineering operations.

As a Software Engineer for the ML Platform and Operations team, you will enhance machine learning infrastructure, manage pipelines, ensure efficient model deployment, and collaborate with data scientists on model requirements. Responsibilities include optimizing performance and maintaining cloud-based services for machine learning processes.

You will develop frameworks for training large models on distributed clusters, collaborate with researchers and engineers, and improve ML workflows including hyperparameter tuning and data pipeline design. Responsibilities include evaluating third-party tools and utilizing scheduling tools for resource management.

The GCOA Enterprise Architect at Lilly is responsible for developing innovative technology solutions that enhance business productivity and efficiency. This role involves strategizing technology roadmaps, determining system architecture, aligning IT with business goals, and documenting processes through architectural models. The architect will work closely with stakeholders to ensure optimal technology usage and integrate emerging technologies into business processes.

As a Staff Machine Learning Engineer at Cash App, you will be responsible for building machine learning models to detect fraudulent activity. You will collaborate with engineering and product teams, analyze data for fraud patterns, and mentor junior modellers while managing your own projects from design to operation.

As a Senior Machine Learning Engineer at Canva, you will develop machine learning models, automate decision-making processes, and enhance marketing efforts through data-driven solutions. Collaborating with Product and Engineering Managers, you'll focus on product development and creative automation using advanced machine learning techniques.

The role involves designing and managing distributed services for real-time customer support automation using machine learning. The engineer will solve technical challenges, collaborate with cross-functional teams, ensure high-quality code, and contribute to development capabilities. They will have autonomy in research and are expected to own solutions from design to operation.

As a Senior AI Engineer at Dovetail, you will lead the development of AI features, mentor junior engineers, drive AI enablement within teams, and influence product direction based on emerging technologies. You will ensure quality and performance improvements in machine learning systems while fostering pragmatism in software development practices.

In this role, you will co-own and deliver the AI/ML roadmap for the Content group, collaborating with product and engineering teams. You will work on the full lifecycle of ML/data models, facilitate ideation across teams, and advocate for AI adoption. Your focus will include building and deploying machine learning models and enhancing user experience through content-related projects.

The AI Productivity Engineer role involves supporting the development and implementation of collaboration and conversational AI platforms within the company. The position is aimed at recent graduates, offering opportunities to learn about AI and software engineering, collaborate with IT teams, contribute to system integration, and improve employee experiences through AI-driven solutions.

As a Senior AI/ML Engineer, you will design, implement, and maintain machine learning algorithms and systems, collaborate with cross-functional teams, and integrate AI models into existing applications. You will advocate for best practices within the team while working in regulated environments, and ensure smooth operations by developing RESTful APIs and CI/CD pipelines.

As a Senior ML Engineer, you will lead projects concerning communication activities and machine learning for core business tasks. You will be responsible for developing ML models, collaborating with cross-functional teams, and sharing knowledge within your team. Your role involves ensuring projects progress from data to production while leveraging various ML tools and technologies.

The Senior Software Engineer will architect and develop scalable AI/ML systems, mentor junior team members, translate business requirements into data-driven solutions, and ensure compliance with industry standards. They will collaborate with AI/ML researchers and stay updated with evolving technologies to enhance the software platform.

As a Software (ML Product) Engineer, you will enhance the user experience of ML tools by optimizing workflows and processes. You will collaborate with technical product managers, contribute to defining efficient ML practices, and improve DVC, an open-source tool for machine learning. A strong background in deep learning and system design is necessary to transform current workflows and engage with the ML community.