Junior Machine Learning Engineer

About the Company

Arkeus builds AI-powered sensing systems that help autonomous platforms detect, track and understand what's happening in the most complex and contested environments. Our technology is deployed across defence and national security applications.

Responsibilities

• Implement and improve the ETL process
• Make data readily available to engineers and organize datasets
• Use PyTorch, OpenCV and scikit-learn to train neural networks for image classification and object detection
• Support implementation and optimization of deep-learned neural networks in computer vision applications
• Contribute to accurate object detection across varied environments
• Participate in team meetings and conduct code reviews
• Develop and maintain documentation

Requirements

• Bachelor's or Master's in computer science, engineering, mathematics, or a related discipline
• Demonstrated machine learning experience through projects, research, or internships
• Proficiency in Python with hands-on exposure to PyTorch
• Solid understanding of neural networks and CNNs
• Exposure to object detection and/or segmentation
• Familiarity with scikit-learn, scikit-image, PIL, Pandas, and OpenCV
• Eligibility to obtain and maintain an Australian Defence security clearance

Preferred Qualifications

• Exposure to C++
• Experience with data science workflows and data pipelines
• Technical experience reading from and controlling cameras
• Exposure to airborne remote sensing, GIS, or optical technologies
• Strong physics and mathematics background

Benefits

• Competitive, market-benchmarked salary
• Employee Share Option Plan (ESOP)
• Structured career pathways
• Opportunity to work on cutting-edge deep-tech problems