Machine Learning Engineer

Job Summary

Join a leading global mining technology company as a Machine Learning Engineer dedicated to assessing, benchmarking, and enhancing the performance of large language models (LLM) and agent-based AI systems. You'll build evaluation frameworks, analyze model effectiveness, and support the delivery of dependable, scalable AI solutions that benefit clients throughout the mining industry. This role also offers the chance to advance our AI capabilities continuously.

About the Company

We are an international mining software organization formed by combining Micromine, Motion Metrics, and Fast2Mine. Our innovative technologies enable mining companies to improve exploration, design, planning, and operational effectiveness through advanced software, artificial intelligence, machine vision, and automation. Supported by Weir's extensive global network and resources, we deliver trusted technology solutions that enhance productivity, efficiency, and sustainability across the mining value chain worldwide.

Role Opportunity

As a Machine Learning Engineer, you will be instrumental in evaluating and enhancing LLM and agent-based AI systems within our product range. Your responsibilities include creating evaluation frameworks, establishing benchmark metrics and datasets, analyzing performance, and collaborating with product and engineering teams to define metrics for AI success.

Key Responsibilities

• Design, build, and deploy machine learning models utilizing PyTorch and related tools.
• Create and execute evaluation frameworks for large language models and agentic AI systems.
• Develop benchmarks and test datasets to measure model quality and reliability.
• Analyze model outcomes to spot areas for enhancement.
• Work closely with product and engineering departments to establish AI success criteria.

Required Qualifications and Experience

• Demonstrated experience in creating machine learning or AI solutions.
• Expertise in machine learning evaluation and benchmarking specifically for LLM or agent-based AI.
• Strong proficiency with PyTorch or similar deep learning platforms.
• Hands-on experience deploying machine learning models in production settings.
• Advanced Python programming skills including familiarity with libraries like NumPy, Pandas, and Scikit-learn.
• Thorough understanding of neural networks, computer vision, natural language processing, or comparable AI fields.
• Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Data Science, or a related discipline.

Benefits and Perks

• Opportunity to work within a hybrid work model.
• Competitive salary package.
• Career advancement prospects in a rapidly expanding global company.
• 14 weeks of paid parental leave available for both primary and secondary caregivers.
• Support for health and wellbeing, including Employee Assistance Programs and gym membership benefits.

Additional Information

This position is based onsite in Perth, Western Australia. We are committed to building a diverse and inclusive workplace and encourage applicants from diverse backgrounds to apply. If you are eager to influence technological innovation within the mining sector, we welcome your application.