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 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)
Preferred qualifications:
- 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
Skills Required
- 3-5 years industry experience delivering deep-learning-based computer vision solutions
- Strong understanding of convolutional neural networks and/or transformers for classification, recognition, or segmentation
- Experience working with recent Foundation Models
- Experience implementing novel deep learning architectures using frameworks (TensorFlow, Caffe, PyTorch or similar)
- Bachelor's, Master's, or PhD in Computer Science or related field
- Publications in top computer vision / ML venues (CVPR, ICCV, NeurIPS, ICLR, ICML, PAMI, JMLR)
- C++ and/or Python development experience
- In-depth understanding of latest deep learning architectures for computer vision and image processing
- Experience with object detection, target tracking, SLAM, 3D reconstruction, camera calibration, behaviour analysis, VLMs or related fields
- Experience deploying deep learning models in embedded production, including pruning, quantization, and performance tuning
- Experience maintaining and/or setting up MLOps systems and services
- Experience mentoring junior engineers or researchers
What the Team is Saying
Shield AI Compensation & Benefits Highlights
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Healthcare Strength — Company materials describe excellent medical, dental, and vision coverage alongside a mental‑health EAP. Site perks such as an onsite gym in DC and a gym discount in San Diego support a health‑focused offering.
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Retirement Support — Careers materials highlight a 401(k) with company match as part of the standard package. A Total Rewards overview emphasizes retirement features within a broader, transparent compensation view.
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Career-Linked Recognition & Rewards — Compensation for in‑demand technical and senior go‑to‑market roles is described as competitive, with visible engineering ranges and top‑end packages. This points to meaningful upside tied to role, level, and scarce skills.
Shield AI Insights
What We Do
Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide.
Why Work With Us
What makes Shield AI special is our people. We unlock the power of autonomy, and in the face of overwhelming odds and challenges, we find ways to win and make a difference for our customers. We bring together software, AI, and aerospace engineering disciplines to deploy the most intelligent aviation capabilities in the world.
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Shield AI Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
