Senior Deep Learning Engineer

1 week ago

Melbourne, Victoria, Australia Shield AI Full time
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 nine offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 
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. 
If you're passionate about shaping the future of AI-driven perception capabilities for autonomous and non-autonomous platforms, we want you on our team  What You'll Do:
  • 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. 
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. 
  • Bachelor's, Master's, or PhD in Computer Science, AI, or related field. 
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. 
  • Experience mentoring junior engineers/researchers in AI and deep learning. 
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. 
Help us redefine what's possible in AI-driven perception — apply today 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check.
Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.   We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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