About Shield AI

Founded in 2015, Shield AI is a venture-backed defense technology company focused on protecting service members and civilians with intelligent systems. Its flagship autonomy software, Hivemind, powers aircraft, drones, and other platforms, enabling complex missions with high reliability in contested environments. With offices in San Diego, Dallas, Washington, D.C., and internationally, Shield AI’s products actively support U.S. and allied operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, Twitter, and Instagram.

Are you ready to transform the world of perception capabilities for both autonomous and non-autonomous platforms? Join Sentient, a part of Shield AI, and Help Shape the Future of Perception Technology!

As a key division of Shield AI, Sentient is at the cutting edge of innovation, pushing the boundaries of what's possible. We turn advanced insights into real-time, deep-learning-based solutions to address practical perception challenges at the edge. Your expertise will drive transformative breakthroughs, redefining the future of technology.

Be part of a dynamic, impact-driven team where innovation powers meaningful change. Together, we can shape the future of perception technology. Let's make it happen!

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 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 localization and mapping (SLAM), 3D reconstruction, camera calibration, behavior analysis, 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

Total package details for U.S. based positions:

Regular employee positions: Salary within range listed above + Bonus + Benefits + Equity
Temporary employee positions: Hourly within range listed above + temporary benefits package (applicable after 60 days

of employment)

Interns/Military Fellows/Part-time not eligible for bonus, benefits or equity

Total package details for International positions which are roles based outside of the United States (where applicable):

International premium, hardship differential, cost of living differential, living quarters allowance, foreign service transfer

allowance, equity, international benefits, visa assistance, and relocation assistance.

Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check.

Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.

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