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# Staff Engineer, Deep Learning (R5180)

- **Company:** Shield AI
- **Location:** Melbourne, FL, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Artificial Neural Networks, Computer Vision, C++ (Programming Language), Python (Programming Language), Machine Learning, Language Modeling, Network Architecture, Object Detection, Performance Tuning, Tensorflow, Pytorch, Large Language Models, Caffe, Deep Learning, Convolutional Neural Networks, Information Technology, Machine Learning Operations
- **Published:** June 13, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=6f64a727db837110

## About the Role

Do you have experience in Neural networks?, Do you have a Master's degree?, * Demonstrable experience in delivering deep-learning-based solutions to solve computer vision problems with industry-based experience between 3 - 5 years

 * Strong understanding of using convolutional neural networks and/or transformers for object classification, recognition or segmentation
 * Experience working with recent Foundation Models
 * 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), * Publication(s) in world-leading Computer Vision/Artificial Intelligence/Machine Learning conferences/journals (i.e., CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, PAMI, JMLR)
 * C++ and/or Python development experience
 * In-depth understanding of the latest deep learning network architectures for computer vision and image processing
 * 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
 * Experience deploying deep learning models in an embedded production context, including experience of structured and unstructured pruning, network quantization and performance tuning
 * Experience in maintaining and/or setting up MLOps systems and services
 * Experience in mentoring junior engineers/researchers in the related fields

## Description

* 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)


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