Engineer II Deep Learning
Shield AI is a U.S. defense-technology company developing mission-autonomy software and autonomous aircraft for military and allied operations.
Funding history
Investors
About Shield AI
Founded in 2015, Shield AI builds Hivemind autonomy software and V-BAT and X-BAT aircraft for operations in contested, GPS- and communications-denied environments. Its current site also presents Aechelon synthetic-reality simulation and Vision Systems detection and tracking products.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will research, design, and implement deep-learning perception capabilities from conception through field deployment. You will deploy AI systems to edge devices, develop tools that scale deep learning operations, collaborate with other engineers, and contribute to research and development projects.
Requirements
- 3–5 years of industry experience delivering deep-learning solutions for computer-vision problems
- Understanding of convolutional neural networks or transformers for classification, recognition, or segmentation
- Experience with foundation models
- Experience implementing deep-learning architectures with TensorFlow, Caffe, PyTorch, or similar frameworks
- Relevant tertiary qualification in computer science or a related field
Responsibilities
- Research, design, and implement deep-learning perception capabilities
- Deploy the AI stack to edge devices
- Develop tools that scale deep learning operations
- Stay current with relevant literature
- Contribute to research and development projects