Top Machine Learning Jobs in Sydney

The Director of Business Development will lead business development and go-to-market initiatives in mining, leveraging industry connections to establish executive relationships and create opportunities for Stratum AI's solutions. Key responsibilities include market development, sales strategy creation, and pipeline development, targeting high-value clients and navigating complex sales environments.

The Lead Metallurgist will oversee resource evaluation, audit geometallurgy models, liaise with teams, ensure quality control, and mentor junior staff.

As Head of Data Product, lead strategy for Consumer Brands, manage data product roadmaps, and drive integration of AI and Machine Learning initiatives.

As a Senior Machine Learning Engineer, develop ML models to digitize infrastructure from varied data sources while optimizing training pipelines and mentoring junior engineers.

The Digital Solution Executive will drive sales of digital solutions, design proposals, and manage complex deal logistics and negotiations.

As a Senior Machine Learning Engineer, you will develop and deploy AI solutions for content moderation and collaborate cross-functionally to guide projects at Canva.

Lead and coach a multidisciplinary team of engineers to develop Canva's context and personalisation systems, define strategies, and drive adoption of capabilities across the ecosystem.

The Engineering Manager leads a backend engineering team focusing on AI-generated media, optimizing infrastructure, and driving model integration for Canva's AI platform.

As a Strategic Account Executive, you will drive enterprise transformations, manage the full sales cycle, and expand accounts while working directly with leadership to refine the sales strategy.

The role involves owning the ML development engine, improving data and compute systems, and coordinating with teams to enhance model performance and data quality.

As a Pre-Sales Specialist, you will leverage your accounting expertise to demonstrate Dext's platform to clients, translate workflows into system configurations, and enable the sales team through training and resource development.

Develop trading strategies using statistical and machine learning algorithms, optimize low latency strategies, and analyze market behavior at Akuna Capital.

As a Senior Software Engineer, you will design and implement features focused on digital twins, API development, and engineering simulations. You'll enhance algorithms, improve monitoring, and create tools for efficient data extraction and network design viability assessments.

Design and implement robust, large-scale distributed ML training systems optimized for low-bandwidth, high-latency environments. Build model-parallel training strategies, checkpointing and recovery, GPU and memory optimizations, P2P networking, NAT traversal, and monitoring to ensure resilient, efficient multi-participant training.

The role involves conducting research in machine vision for deep visual understanding and multimodal learning, developing deep learning methods, and publishing research findings.

As a Senior Machine Learning Engineer, you will design and maintain scalable training systems, collaborate with various teams, and improve infrastructure for AI workloads at Canva.

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

The role involves designing scalable ML infrastructure, managing Kubernetes platforms, building ML tools, and ensuring production system reliability.

The role involves developing algorithmic systems to create conflated Map Data products, transforming aerial imagery using AI and geospatial analysis.

As a Staff Machine Learning Engineer, you'll lead the development and integration of AI-driven tools and APIs for Canva, enhancing design capabilities across platforms and managing evaluation frameworks for tool accuracy and performance.

Lead the development of ML-powered features in advertising, collaborating with teams to enhance user experiences and product outcomes.

The role requires providing solution expertise in machine learning, collaborating with product teams, and enabling efficient implementations while optimizing complex systems and troubleshooting issues.

The role involves designing, building, and scaling ML/RL systems that enhance customer experience while ensuring reliability and efficiency in production. Responsibilities include model optimization, deployment, and monitoring for performance improvements.

The Staff Applied ML Engineer will design and productionize machine learning models, focusing on predictive features within the marketing technology platform, ensuring integration and maintaining best practices.

The Machine Learning Engineer will design deep learning models for computer vision applications, optimize them, and collaborate on machine learning projects, ensuring high-quality production code and statistical validation.