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Shield AI

Senior Deep Learning Engineer

Melbourne, Australia
TensorFlow PyTorch Machine Learning C++ Python Deep Learning R
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Description
Introduction to Shield AI
Founded in 2015, Shield AI is a venture-backed defense technology company whose mission is to protect service members and civilians with intelligent systems. In pursuit of this mission, Shield AI is building the world’s best AI pilot. Its AI pilot, Hivemind, has flown a fighter jet (F-16), a vertical takeoff and landing drone (V-BAT), and a quadcopter (Nova). The company has offices in San Diego, Dallas, Washington DC and abroad. Shield AI’s products and people are currently in the field actively supporting operations with the U.S. Department of Defense and U.S. allies. 

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 based positions (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. 
Shield AI
Shield AI
Artificial Intelligence Machine Learning Mechanical Engineering National Security Robotics Security Software

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