Senior Deep Learning Engineer (R4258)

About Shield AI

Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide.

Job Summary

Join Vision Systems, a key division of Shield AI at the forefront of perception technology innovation. We push the boundaries of AI-powered real-time perception solutions, solving practical challenges at the edge. Our deep learning expertise drives cutting-edge breakthroughs, enabling AI to interpret and interact with the world like never before.

Key Responsibilities

• Drive R&D projects and contribute to our AI and autonomy strategy.
• 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.

Required Qualifications

• 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.
• Bachelor’s, Master’s, or PhD in Computer Science, AI, or related field.

Preferred Qualifications

• 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.
• Experience mentoring junior engineers/researchers in AI and deep learning.

Benefits & Perks

• 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.