5 months ago
Melbourne, AustraliaMid Level
Responsibilities
- Research, design, and implement deep-learning-based perception capabilities for autonomous and non-autonomous platforms.
- Deploy the company’s AI stack to edge devices.
- Collaborate with deep learning engineers to architect and develop tools that scale deep learning operations.
- Stay current with relevant literature and contribute to R&D projects.
- Take perception concepts from conception through field-ready solutions.
Requirements
- Less than one year of industry-based experience delivering deep-learning solutions for computer vision problems.
- Strong understanding of convolutional neural networks and/or transformers for object classification, recognition, or segmentation.
- Experience implementing novel deep learning network architectures using TensorFlow, Caffe, PyTorch, or a similar framework.
- Bachelor’s, master’s, or PhD in computer science or a related field.
Tech Stack
PyTorchTensorFlow
Categories
ML EngineeringRobotics
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.