Fortescue is both a proud West Australian company and a global green solutions business. We are recognised for our culture, innovation and industry-leading development of infrastructure, mining assets and green energy initiatives.

Work Location: Perth – Fortescue’s Perth office is located on the traditional lands of the Whadjuk Noongar people

Roster: Monday to Friday

The Simulation and ML_AI Engineer will play a key role in designing and delivering Simulation and ML solutions across our operations. We are seeking an engineer with strong expertise in Simulation (Agent Based or DES or others depending on the problem) including 2D and 3D graphical output of the SIM environment as well as analysis metrics from the sim. 

The ideal candidate also has first-hand experience with ML methods such as reinforcement learning, neural networks, etc. The initial focus of this role will be the development of a Simulation to be the main testing environment for our fleet management system optimisation solutions. The engineer will work closely with both the Product Definition team and the Development team to collaboratively deliver a fully functional application.

• Design and develop a simulation environment for testing of all AI and ML methods.  Simulations may be in DES, Agent based Simulation or others depending on the state of technology
• Design, develop, and optimise ML solutions such as neural network and reinforcement learning models tailored for fleet management applications
• Build and maintain scalable learning pipelines for model training, evaluation, and deployment
• Experiment with advanced RL techniques (e.g., multi-agent systems) to solve real-world operational challenges
• Develop simulation environments to train, test and validate RL strategies before real-world deployment
• Monitor and refine model performance through continuous feedback, retraining, and tuning
• Collaborate closely with Product Definition and Software Development teams to translate requirements into robust AI solutions.

• Bachelor, master’s, or PhD in computer science or an ML_AI related field.
• Firsthand experience in design and development of Simulations in industrial applications
• Theoretical and practical knowledge of reinforcement learning, neural network, and other ML methodologies
• Demonstrated experience designing and deploying ML_AI models in production environments
• Experience implementing scalable ML pipelines, including data preprocessing, feature engineering, dataset versioning, and model lifecycle management
• Excellent written and verbal communication skills
• Strong problem-solving skills.

Fortescue celebrates individual strengths and team members are encouraged to bring their whole selves to work. Our global workforce drives and promotes an inclusive culture, both within our organisation and throughout the communities we interact with. Diverse backgrounds include First Nations Peoples, people with disabilities, LGBTQ+ community, gender, neurodiverse, cultural diversity, all age groups, and those with an intersectional or multiple diverse characteristics. We encourage candidates from all backgrounds to apply.

https://fortescue.com/careers 

Internal Candidates / Current Contractors please apply via Success Factors Careers Portal. For further information on how to apply please visit the Fortescue Hub. 

Fortescue reserves the right to close applications early should a suitable pool of candidates be identified. Fortescue will never contact you to ask for payment of any kind, whether directly or through a third party.