At a Glance
- Tasks: Develop and improve AI systems for the mining industry using cutting-edge technologies.
- Company: Join a global leader in mining technology with a focus on innovation.
- Benefits: Hybrid work model, competitive pay, career growth, and health support.
- Other info: Diverse and inclusive workplace with excellent development opportunities.
- Why this job: Make a real impact by building AI solutions that enhance mining operations.
- Qualifications: Experience in machine learning, Python, and deep learning frameworks required.
The predicted salary is between 90000 - 110000 $ per year.
Job Summary
Join a global mining technology leader as a Machine Learning Engineer focused on evaluating, benchmarking and improving the performance of LLM and agent-based AI systems.
You’ll develop evaluation frameworks, measure model effectiveness and help ensure our AI solutions deliver reliable, scalable outcomes for customers across the mining industry while contributing to the ongoing evolution of our AI capabilities.
- Key Selling Points
- Build AI and machine learning solutions from the ground up.
- Work with cutting-edge technologies.
- Join a global mining technology business.
About Us
We are a global mining software business bringing together the expertise of Micromine, Motion Metrics and Fast2Mine.
Our solutions help mining companies explore, design, plan and operate more effectively through industry-leading software, AI, machine vision and automation technologies.
From geology and mine planning to fleet performance and operational optimisation, we help customers improve productivity, efficiency and sustainability across the mining value chain.
Backed by Weir's global reach and resources, we combine deep mining expertise with a strong innovation roadmap, delivering trusted technology solutions used by mining operations around the world.
The Opportunity
As a Machine Learning Engineer, you'll help evaluate, benchmark and improve the performance of LLM and agent-based AI systems across our product suite.
You'll develop evaluation frameworks, measure model performance and provide insights that help deliver reliable, high-impact AI solutions for the mining industry.
- The Impact you’ll have
- Design, develop and deploy machine learning models using Py Torch and related technologies.
- Design and implement evaluation frameworks for LLM and agentic AI systems.
- Develop benchmarks, metrics and test datasets to assess model quality and reliability.
- Analyse model performance and identify opportunities for improvement.
- Partner with product and engineering teams to define AI success measures.
- What you need to succeed
- Proven experience developing machine learning or AI solutions.
- Experience in ML evaluation, benchmarking for LLM or agentic systems
- Strong experience with Py Torch or similar deep learning frameworks.
- Experience deploying machine learning models into production environments.
- Advanced Python skills and familiarity with ML libraries such as Num Py, Pandas and Scikit-learn.
- Solid understanding of neural networks, computer vision, natural language processing, or related AI disciplines.
- Bachelor's degree or higher in Computer Science, Artificial Intelligence, Data Science or a related field.
- What you can expect from us
- Hybrid working model
- Competitive remuneration
- Career development within a growing global organisation
- 14 weeks paid parental leave (primary and secondary carers)
- Health and wellbeing support, including EAP and gym membership
Weir Software Solutions is dedicated to fostering a diverse and inclusive work environment, and we welcome applicants from a variety of backgrounds to apply.
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Machine Learning Engineer in Perth employer: Micromine
Join Weir Software Solutions, a global leader in mining technology, where as a Machine Learning Engineer, you'll have the opportunity to build cutting-edge AI solutions that drive innovation in the mining industry. Enjoy a hybrid working model, competitive remuneration, and robust career development opportunities within a diverse and inclusive environment that values your growth and well-being.