14 hours ago
Melbourne, AustraliaStaff+
Responsibilities
- Research, design, and implement state-of-the-art perception capabilities for computer vision.
- Take perception concepts from conception through deployment as field solutions.
- Deploy the AI stack and deep learning models to edge and embedded devices.
- Architect and develop tools that scale deep learning operations.
- Collaborate with deep learning engineers on research and development projects.
- Stay current with relevant literature and mentor junior engineers or researchers.
Requirements
- 3–5 years of industry experience delivering deep-learning-based solutions for computer vision problems.
- Strong understanding of convolutional neural networks and/or transformers for classification, recognition, or segmentation.
- Experience working with recent foundation models.
- Experience implementing novel deep learning network architectures using TensorFlow, Caffe, PyTorch, or similar frameworks.
- Bachelor's, master's, or PhD in Computer Science or a related field.
- Preferred experience with C++ and/or Python development.
- Preferred publications in leading computer vision, artificial intelligence, or machine learning conferences or journals.
- Preferred experience with object detection, target tracking, SLAM, 3D reconstruction, camera calibration, behavior analysis, vision-language models, large multimodal models, or automated video surveillance.
- Preferred experience deploying and optimizing deep learning models in embedded production contexts, including pruning, quantization, and performance tuning.
- Preferred experience maintaining or setting up MLOps systems and services.
Categories
About Shield AI
Shield AI builds autonomous systems for military and national security customers, combining its Hivemind autonomy software with V-BAT and X-BAT unmanned aircraft and Aechelon simulation technologies. The privately held company sells hardware, software, and related services to U.S. and allied defense agencies. Founded in 2015 and headquartered in San Diego, it operates across the U.S., Europe, the Middle East, and Asia-Pacific, and its technology is used in operational deployments.