Staff Deep Learning Engineer

What You'll Do:

• Research, design, and implement state-of-the-art perception capabilities, taking ideas from concept to field deployment.
• Deploy and optimise our AI stack for edge devices.
• Collaborate with deep learning engineers to develop scalable tools and frameworks for large-scale AI operations.
• Stay up to date with cutting-edge AI and deep learning research, contributing to ongoing R&D initiatives.

What You'll Bring:

• Recent experience developing deep learning-based solutions for computer vision applications.
• Strong understanding of convolutional neural networks (CNNs) and transformers for object classification, recognition, and segmentation.
• Experience implementing novel deep learning architectures using frameworks such as PyTorch, TensorFlow, or Caffe.
• Experience mentoring junior engineers/researchers in AI and deep learning.

Bonus Points For:

• Published research in leading AI/Computer Vision conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, PAMI, JMLR).
• Proficiency in C++ and/or Python for AI model development.
• Experience with object detection, target tracking, SLAM, 3D reconstruction, behaviour analysis, and automated surveillance systems.
• Background in edge AI deployment, including model pruning, quantisation, and performance tuning.
• Hands-on experience with MLOps, managing AI pipelines, and scaling deep learning services.
• Previous Defence experience is highly desirable.

Why Shield AI?

• Work on mission-critical AI and perception technology solving real-world defence and security challenges
• Join a high-performing, collaborative engineering team at the cutting edge of AI and autonomy.
• Flexible and supportive work environment - our office is in Port Melbourne, close to Melbourne CBD.
• Salary + equity for permanent roles, with flexible working options available.