Graduate AI Engineer
Salary: $120,000 – $130,000 per year
About EARTH AI
EARTH AI is a fast-growing technology company transforming the way critical metals are discovered.
Founded in Sydney in 2016, we use cutting-edge AI and exploration technology to discover new mineral deposits with unmatched efficiency and sustainability. Our mission is to secure the future of technology and infrastructure by responsibly sourcing the metals essential for global advancement.
Our vision is to become the world’s most advanced, efficient, and responsible metal commodity company by discovering and owning the majority of future metal deposits.
About the Role
EARTH AI is seeking Graduate AI Engineers to support the development of applied AI and machine learning systems for mineral exploration.
This role is suited to recent graduates and early-career candidates with up to 2 years of professional experience.
Working closely with our senior AI researcher, data engineers, and geoscientists, you will contribute to practical, innovation-focused AI systems that are actively used across the business. You will work on complex challenges using emerging AI technologies in a fast-paced, high-impact environment.
Key Responsibilities
Develop and evaluate machine learning models and AI agents using multimodal geological and operational datasets, engineered from incomplete and noisy real-world data
Build and maintain specialised modular AI components, including AI agents and classical ML models
Gather requirements, develop domain understanding, run experiments, validate outputs, and iterate based on findings
Write clean, maintainable Python code and contribute to shared tooling and codebases
About You
Degree in:
Artificial Intelligence
Data Science
Computer Science or Information Technology (AI/ML/Data specialisation)
or another science or engineering discipline with a strong AI focus
Up to 2 years of professional experience in AI, ML, data, or related engineering roles
Strong understanding of:
machine learning fundamentals
statistics and data analysis
agentic AI systems and LLMs
retrieval-augmented generation (RAG), multi-agent collaboration (MAC), and domain-specific fine-tuning
Proficiency in Python, including NumPy, Pandas, scikit-learn, and PyTorch
Exposure to agentic AI platforms and agents integration in automation workflows
Ability to build advanced data visualisation and analysis pipelines
Experience working with structured and/or unstructured datasets under real-world constraints
Understanding of software development practices
Ability to research and reason about technologies and align outcomes with functional requirements
What’s in it for You
Competitive salary package plus performance bonus
Work on cutting-edge AI applications with real-world impact
Strong career development and growth opportunities
Collaborative and high-performing team environment
Team lunches and company retreats
Opportunity to work closely with experienced researchers, engineers, and industry experts