Senior Deep Learning Engineer

About Shield AI     
Shield AI is a venture-backed defense technology company dedicated to protecting service members and civilians with intelligent, autonomous systems. Founded in 2015, our flagship autonomy software, Hivemind, enables aircraft and drones to perform complex missions in contested environments with high reliability. Our Australia-based team plays a key role in advancing Shield AI’s mission, collaborating with partners and defense forces to develop cutting-edge autonomous capabilities. With global operations supporting U.S. and allied forces, Shield AI is committed to innovation in defense technology.

For more information, visit www.shield.ai. and follow Shield AI on LinkedIn, X, 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 Australia based positions:
    - Regular employee positions: Salary + Equity
    - Temporary employee positions: Hourly pay
    - Interns/Part-time not eligible for bonus, benefits or equity

    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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