Top Machine Learning Jobs in Melbourne

As a Machine Learning Engineer at Block, you will build AI-powered solutions, collaborate with teams, mentor engineers, and drive system improvements while focusing on customer needs.

The Staff Robotics Engineer leads the design and delivery of vehicle perception and planning capabilities, integrating systems for Anduril's autonomous platforms, ensuring customer success while collaborating with diverse teams and managing multi-stakeholder roadmaps.

Senior Robotics Engineers lead the development of autonomous vehicle perception and planning systems, collaborating with various engineering teams to implement advanced capabilities in Anduril products.

Staff Robotics Engineers lead the design and implementation of vehicle perception and planning systems for autonomous platforms, ensuring integration and success across diverse teams and technologies.

The Senior Data Scientist will design and develop predictive models, manage large datasets, and communicate analytical findings to stakeholders while guiding junior team members.

The Senior Manager of Architects oversees a technical team, guiding solution presentations, managing sales projects, and demonstrating expertise in cloud architecture and AI solutions to drive sales success.

Lead consulting initiatives in Mining, Minerals, and Cement industries, driving digital transformation solutions with a focus on business development and client delivery.

The AI Lead, Infrastructure + Energy will integrate and scale AI solutions, drive innovation, and align business objectives with AI strategy to maximize value. Responsibilities include leading AI strategy, fostering innovation, and developing capabilities across the organization.

As a Strategic Sales Director, you will lead sales efforts, develop relationships with key executives, and drive significant transactions in Australia.

The General Manager will lead business development, forge strategic partnerships, and drive growth in the renewable energy sector, focusing on battery storage solutions.

As an AI Engineer, you'll work closely with customers to understand their needs, train and deploy models, and build scalable AI systems.

The Lead Data Scientist will drive advanced analytics and data science initiatives, leading a team to deliver impactful solutions while ensuring alignment with business goals.

Lead the definition and delivery of AI-driven features and solutions. Translate complex needs into clear requirements, prioritize use cases, and coordinate cross-functional teams to deliver effectively.

Design and build ML infrastructure, influence data access and model deployment, partner with researchers to optimize ML models for trading, and mentor engineers.

The Data Scientist will develop predictive models and integrate various data types to enhance mineral exploration efforts, collaborating with engineers and geoscientists.

As a Senior Software Engineer, you will design and build software for renewable energy optimization, collaborate with cross-functional teams, and ensure system performance.

The Sales Account Executive will drive revenue growth by selling AspenTech software and services, managing accounts, and building relationships in the Mining sector.

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.

As a Senior ML Engineer at Zendesk, you will develop and deploy ML systems, build benchmarking frameworks, and ensure reliable GenAI infrastructure.

The role involves designing scalable AI solutions, developing ML models, creating recommender systems, and collaborating on data products in a team-focused environment.

As a Machine Learning Engineer, you'll build and deploy ML models, improve internal processes, and automate tasks to enhance customer support. You'll work with a small team to utilize data platforms for ML training and deployment.

The Senior Engineering Manager will lead multiple engineering squads using AI technologies, ensuring technical excellence and delivery success while fostering a collaborative environment.

As a Senior ML Engineer, you will operationalize ML models, design scalable MLOps infrastructure, build feature stores, automate workflows, and ensure model monitoring, collaborating with data scientists and engineers.

The role involves implementing and optimizing low-bandwidth model-parallel training systems for distributed language model development, enhancing an open AI ecosystem.