Staff Deep Learning Engineer (R5677)

<div><span data-contrast="auto">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&nbsp;</span><a rel="noreferrer noopener" href="https://shield.ai/"><span data-ccp-charstyle="Hyperlink">www.shield.ai</span></a><span data-contrast="auto">. Follow Shield AI on&nbsp;</span><a rel="noreferrer noopener" href="https://www.linkedin.com/company/shield-ai"><span data-ccp-charstyle="Hyperlink">LinkedIn</span></a><span data-contrast="auto">,&nbsp;</span><a rel="noreferrer noopener" href="https://x.com/shieldaitech"><span data-ccp-charstyle="Hyperlink">X</span></a><span data-contrast="auto">,&nbsp;</span><a rel="noreferrer noopener" href="https://www.instagram.com/shield_ai"><span data-ccp-charstyle="Hyperlink">Instagram</span></a><span data-contrast="auto">, and&nbsp;</span><a rel="noreferrer noopener" href="https://www.youtube.com/@Shield_AI"><span data-ccp-charstyle="Hyperlink">YouTube</span></a><span data-contrast="auto">.</span>&nbsp;</div><div><br></div><h3>Job Description:</h3> <div> <p data-renderer-start-pos="1">Join Our Team: Shape the Future of Perception Technology! 🚀&nbsp;</p> <p data-renderer-start-pos="64">Are you ready to revolutionize the world of perception capabilities for both autonomous and non-autonomous platforms?&nbsp;</p> <p data-renderer-start-pos="184">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.&nbsp;</p> <p data-renderer-start-pos="493">Be part of a dynamic team where innovation meets impact. Let’s shape the future together!&nbsp;</p> </div><h3>What you'll do:</h3><div> <li data-renderer-start-pos="604">Research, design and implement state-of-the-art perception capabilities, taking ideas from conception into world-class field solutions&nbsp;</li> <li data-renderer-start-pos="743">Work with and deploy our AI stack to edge devices&nbsp;</li> <li data-renderer-start-pos="797">Work in collaboration with the other deep learning engineers to architect and develop tools help to scale up our deep learning operations&nbsp;</li> <li data-renderer-start-pos="939">Stay abreast with the literature and actively involve in various R&amp;D project(s)&nbsp;</li> </div><h3>Required qualifications:</h3><div> <li>Demonstrable experience in delivering deep-learning-based solutions to solve computer vision problems with industry-based experience between 3 – 5 years&nbsp;</li> <li>Strong understanding of using convolutional neural networks and/or transformers for object classification, recognition or segmentation&nbsp;</li> <li>Experience working with recent Foundation Models</li> <li>Experience with implementing novel deep learning network architectures using existing frameworks (TensorFlow, Caffe, PyTorch or similar)&nbsp;</li> <li>Relevant tertiary qualifications (Bachelors/Master/PhD in Computer Science or related fields)&nbsp;</li> </div><h3>Preferred qualifications:</h3><div> <li data-renderer-start-pos="1667">Publication(s) in world-leading Computer Vision/Artificial Intelligence/Machine Learning conferences/journals (i.e., CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, PAMI, JMLR)&nbsp;</li> <li data-renderer-start-pos="1839">C++ and/or Python development experience&nbsp;</li> <li data-renderer-start-pos="1884">In-depth understanding of the latest deep learning network architectures for computer vision and image processing&nbsp;</li> <li data-renderer-start-pos="2002">Experience with any of the following: object detection and target tracking, simultaneous localisation and mapping (SLAM), 3D reconstruction, camera calibration, behaviour analysis, foundation models, vision language models, large multi-modal models, automated video surveillance and related fields&nbsp;</li> <li data-renderer-start-pos="2304">Experience deploying deep learning models in an embedded production context, including experience of structured and unstructured pruning, network quantization and performance tuning&nbsp;</li> <li data-renderer-start-pos="2490">Experience in maintaining and/or setting up MLOps systems and services&nbsp;</li> <li data-renderer-start-pos="2565">Experience in mentoring junior engineers/researchers in the related fields&nbsp;</li> </div>