Senior Staff Deep Learning Engineer (R5675)
On-site Melbourne Internship Senior Machine Learning Engineering
At a glance
Senior Machine Learning Engineering role at Shield AI. Melbourne · internship.
Pay not stated Machine Learning Engineering salary
RoleMachine Learning Engineering
SenioritySenior
LocationMelbourne
WorkplaceOn-site
EmploymentInternship
PostedSep 8, 2026 · 6w ago
Role brief
aimlroles summary, based on the employer's posting.
What you'll do
- Develop perception methods from early research through field deployment for autonomous and non-autonomous systems
- Put the AI stack onto edge devices and make it run there
- Build tools with other deep learning engineers to expand deep learning operations
- Track new research and contribute to research and development projects
What you bring
- Three to five years delivering industry deep-learning solutions for computer vision problems
- You understand CNNs or transformers for object classification, recognition or segmentation, and have worked with foundation models
- You have built new deep learning architectures with TensorFlow, Caffe, PyTorch or a similar framework
- A bachelor’s, master’s or doctoral qualification in computer science or a related area
Who this fits
This suits an experienced computer vision engineer with hands-on model development and deployment interests. The role is based on-site in Melbourne, Australia, and is listed as an internship.
From the employer
Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.
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, colour, 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.
Job Description:
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
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, colour, 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.