Deep Learning Engineer II
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 perception capabilities from initial concepts through field solutions. You will deploy the AI stack to edge devices, work with other deep learning engineers to develop tools that scale deep learning operations, and contribute to research and development projects.
Requirements
- Industry experience delivering deep-learning solutions for computer-vision problems of less than one year
- Understanding of convolutional neural networks or transformers for object classification, recognition, or segmentation
- Experience implementing novel deep learning network 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
- 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