Senior Staff Deep Learning Engineer
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-based perception capabilities from concept through field-ready solutions. You will deploy the AI stack to edge devices and collaborate on tools that scale deep learning operations. You will stay current with relevant research and contribute to research and development projects focused on practical computer-vision challenges.
Requirements
- 3–5 years of industry experience delivering deep-learning-based computer-vision solutions
- Understanding of convolutional neural networks or transformers for classification, recognition, or segmentation
- Experience with foundation models
- Experience implementing novel deep learning architectures using TensorFlow, Caffe, PyTorch, or similar frameworks
- Relevant tertiary qualification in Computer Science or a related field
Responsibilities
- Research, design, and implement perception capabilities
- Develop field-ready deep-learning solutions for perception challenges
- Deploy the AI stack to edge devices
- Architect and develop tools that scale deep learning operations
- Stay current with relevant literature
- Contribute to research and development projects