Edge ML Engineer: Real-Time Vision & Sensing

Arkeus; City of Melbourne; On-site; AUD 110,000 - 170,000; Full time

Benefits offered by this job

Competitive salary

Career pathways

Employee Share Option Plan (ESOP)

Job summary

Arkeus is seeking a Machine Learning Engineer to join our team focused on image-based optical sensing. You will own models across the ML lifecycle, deploy on edge devices, and collaborate with senior engineers to translate research into real-world capability.

The role emphasizes hands-on Python with PyTorch, OpenCV, and computer vision expertise, delivering deployable ML solutions in a fast-paced, hardware-integrated environment.

Qualifications

• Tertiary qualification (Bachelor’s or Master’s) in computer science, engineering, mathematics or a related discipline.
• 2-4 years of demonstrated machine learning experience through professional work, research, or substantial personal projects.
• Confident working in Python, with solid hands-on experience in PyTorch.
• Strong understanding of the fundamentals of neural networks and convolutional neural networks (CNNs).
• Hands-on experience with object detection and/or segmentation problems.
• Familiarity with common libraries such as scikit-learn, scikit-image, PIL, Pandas and OpenCV.
• Sound research practices — able to read, understand and apply findings from technical literature.
• Eligibility to obtain and maintain an Australian Defence security clearance.

Responsibilities

• Implement and improve the ETL process.
• Make data readily available to engineers across the team and improve and organise our datasets.
• Use PyTorch, OpenCV and scikit-learn to design, build and train neural networks for image classification and object detection.
• Lead the implementation and optimisation of state-of-the-art deep-learned neural networks in computer vision applications.
• Contribute to and take ownership of accurate object detection across varied environments (over sea, littoral zone, rural and city) and at various target sizes.
• Participate in team meetings, conduct code reviews, and help uphold engineering standards across the team.
• Support and mentor junior engineers, sharing knowledge and good practice.
• Report software bugs and issues in the issue-tracking system in a timely manner.
• Develop and maintain documentation.

Skills

Python

PyTorch

Neural networks

CNNs

Object detection

Segmentation

scikit-learn

scikit-image

PIL

Pandas

OpenCV

Education

Bachelor’s or Master’s in computer science, engineering, mathematics or related

Tools

C++

Job description

Arkeus is seeking a Machine Learning Engineer to join our team focused on image-based optical sensing. You will own models across the ML lifecycle, deploy on edge devices, and collaborate with senior engineers to translate research into real-world capability.

The role emphasizes hands-on Python with PyTorch, OpenCV, and computer vision expertise, delivering deployable ML solutions in a fast-paced, hardware-integrated environment.