Machine Learning Engineer

Micromine Pty Ltd.; City of Brisbane; On-site; AUD 90,000 - 130,000; Full time

Benefits offered by this job

Work from home options

12 weeks paid parental leave

Free gym membership

Employee Assistance Program

Discounted private health insurance

Job summary

A leading software company in Brisbane is seeking a Machine Learning Engineer to drive innovation in AI-powered mining solutions. In this role, you will design and implement machine learning models tailored to specific challenges, primarily using PyTorch. Ideal candidates will have a solid understanding of deep learning and experience with deploying models. The position offers great benefits, including paid parental leave and work-from-home options.

Qualifications

• Strong experience with PyTorch (or similar framework) for deep learning model development.
• Experience deploying models in production environments.
• Solid understanding of neural networks, computer vision, or NLP.

Responsibilities

• Design, develop and implement machine learning models.
• Optimise deep learning architectures for performance.
• Work with large datasets applying data preprocessing best practices.

Skills

PyTorch

Machine Learning

Deep Learning

Python

Data preprocessing

Education

Bachelor's degree in Computer Science or related field

Tools

NumPy

Pandas

Scikit-learn

Job description

About Us

Founded 40 years ago, Micromine is at the cutting edge of next-generation technology for mining. With offices in 9 different countries, we are one of the world's premier mining software companies; our technology is used in all corners of the globe.

What We Offer

An established multinational business, growing fast, with great benefits:

• High growth company providing growth opportunities for our people
• Work from home (WFH) and flexibility options to balance work and home life
• 12 weeks paid parental leave – primary and secondary carers
• Free gym membership
• Employee Assistance Program for you and your family
• Social Connection and Responsibility Program
• Discounted private health insurance
• Novated leasing
• The opportunity to work across both the Mining and Technology sectors
• An engaging team culture and a modern office within Brisbane’s CBD

About The Opportunity

Micromine is at the forefront of revolutionising the mining industry through cutting‑edge AI tools; enhancing efficiency, safety, and decision‑making. As we continue to expand, we are seeking a Machine Learning Engineer to strengthen our team and drive innovation in AI‑powered mining solutions.

In this role you will design, develop and implement machine learning models that solve real‑world problems.

This isn’t a role focused on simply integrating existing AI models like ChatGPT; we build our machine learning and AI solutions from scratch, tailored to our specific needs and challenges.

Focusing on our Spry and Advance product you will;

• Develop and deploy machine learning models using PyTorch.
• Optimise deep learning architectures for performance and scalability.
• Implement and maintain model training, evaluation, and monitoring pipelines.
• Work with large datasets and apply best practices for data preprocessing and feature engineering.
• Stay up to date with the latest advancements in deep learning and AI technologies.

About You

Ideally you will have a proven background in the Machine Learning / AI field.

Other key skills, experience, and qualifications:

• Strong experience with PyTorch (or similar framework) for deep learning model development.
• Experience deploying models in production environments.
• Proficiency in Python and familiarity with related ML libraries (NumPy, Pandas, Scikit‑learn, etc.).
• Solid understanding of neural networks, computer vision, or NLP.
• Bachelor's or higher degree in Computer Science, AI, or a related field.

Next Steps

If you are looking to shape the future direction of technology in the industry, we encourage you to apply for this exciting opportunity.

To learn more or apply, visit our website at www.micromine.com.

Micromine is dedicated to fostering a diverse and inclusive work environment, and we welcome applicants from a variety of backgrounds to apply.