Benefits:

• Competitive salary and benefits

• Opportunity to work on cutting-edge autonomous technology

• Mission-driven team environment

• Dynamic and collaborative workplace

• Growth potential

Education Requirements:

• Bachelor’s degree in statistics, mathematics, computer science, computer systems engineering, or a related field

• Master’s degree in machine learning, data science, or related quantitative field (preferred)

Experience Requirements:

• Programming experience is required

• Experience in statistical modeling is required

• Experience in machine learning is required

Other Requirements:

• Experience with computer vision and perception (2D/3D detection, SLAM/localization, sensor fusion)

• On-edge/embedded deployment and performance optimization

• Familiarity with ROS/ROS2, Git, Linux, PyTorch/NumPy, and SQL

• Clear written and verbal communication skills

• Previous working experience in the mining industry (preferred)

Responsibilities:

• Implement cutting-edge techniques in machine learning and deep learning

• Perform large-scale experimentation to evaluate model performance

• Create advanced algorithms such as regression, simulation, and neural networks

• Build automated pipelines for data cleaning, labeling, and quality assurance

• Develop AI models for mining autonomy and collision-avoidance systems