Engineer II, Deep Learning (R5178)

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai . Follow Shield AI on LinkedIn , X , Instagram , and YouTube .

Job Description:

Join Our Team: Shape the Future of Perception Technology ! 🚀

Are you ready to revolutionize the world of perception capabilities for both autonomous and non-autonomous platforms?

At the forefront of innovation, we are pushing the boundaries of what’s possible, turning cutting-edge insights into real-time, deep-learning-based solutions to solve practical perception challenges on the edge. Your skills will play a key role in driving transformative solutions that redefine the future.

Be part of a dynamic team where innovation meets impact. Let’s shape the future together!

What you'll do:

• Research, design and implement state-of-the-art perception capabilities, taking ideas from conception into world-class field solutions
• Work with and deploy our AI stack to edge devices
• Work in collaboration with the other deep learning engineers to architect and develop tools help to scale up our deep learning operations
• Stay abreast with the literature and actively involve in various R&D project(s)

Required qualifications:

• Demonstrable experience in delivering deep-learning-based solutions to solve computer vision problems with industry-based experience between < 1 year
• Strong understanding of using convolutional neural networks and/or transformers for object classification, recognition or segmentation
• Experience with implementing novel deep learning network architectures using existing frameworks (TensorFlow, Caffe, PyTorch or similar)
• Relevant tertiary qualifications (Bachelors/Master/PhD in Computer Science or related fields)

Help us redefine what’s possible in AI-driven perception — apply today!