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Staff Deep Learning Engineer (R5677)

Shield AIMelbourneAUS
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Salary
Not listed
Job type
International Office Entity
Experience
Senior · 3+ yrs
Posted
8 Sept 2026
Status
Open · checked 7d ago

About this role

This position suits a qualified professional with industry experience in deep learning and computer vision who wants to develop perception technology for autonomous platforms. The role is based at the Shield AI international office entity in Melbourne.

Role Overview

Shield AI seeks a Staff Deep Learning Engineer to shape the future of perception technology by building real-time, deep-learning-based solutions for edge devices. The professional in this position will work alongside other engineers to research, design, and implement advanced perception capabilities and scale deep learning operations.

Key Responsibilities

Research, design, and implement advanced perception capabilities from conception to field solutions.
Deploy the company AI stack to edge devices.
Collaborate with team members to architect and develop tools for scaling deep learning operations.
Review relevant literature and participate in research and development projects.

Requirements

Three to five years of industry-based experience delivering deep-learning-based solutions for computer vision problems.
Strong understanding of convolutional neural networks and/or transformers for object classification, recognition, or segmentation.
Experience working with recent Foundation Models.
Experience implementing novel deep learning network architectures using frameworks such as TensorFlow, Caffe, PyTorch, or similar.
Relevant tertiary qualifications including a Bachelor, Master, or PhD degree in Computer Science or related fields.

Nice to Have

Publications in prominent computer vision, artificial intelligence, or machine learning conferences and journals.
C++ and/or Python development experience.
In-depth understanding of recent deep learning network architectures for computer vision and image processing.
Experience with object detection, target tracking, simultaneous localisation and mapping, 3D reconstruction, camera calibration, behaviour analysis, vision language models, large multi-modal models, or automated video surveillance.
Experience deploying deep learning models in an embedded production context, including pruning, quantization, and performance tuning.
Experience setting up or maintaining MLOps systems and services.
Experience mentoring junior engineers or researchers.

Skills and Tools

TensorFlow
PyTorch
Caffe
C++
Python
Convolutional Neural Networks
Transformers
Foundation Models

About the Company

Shield AI is a defense-technology company focused on protecting service members and civilians through intelligent systems. The organization produces Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies, supporting operations worldwide from facilities across the United States, Europe, the Middle East, and the Asia-Pacific region.

How to Apply

Interested candidates should visit the official Shield AI careers page to submit an application.

Skills and tech stack

TensorFlowPyTorchCaffeC++PythonComputer VisionTransformersMLOpsDeep LearningMachine Learning

Questions candidates ask

What is the location of the Staff Deep Learning Engineer role?

The position is located in Melbourne at an international office entity of Shield AI.

How many years of experience are required for this position?

Candidates must have between three and five years of industry-based experience in delivering deep-learning-based solutions for computer vision problems.

What educational qualifications are needed?

Applicants need relevant tertiary qualifications, specifically a Bachelor, Master, or PhD degree in Computer Science or related fields.

What frameworks are mentioned for implementing deep learning architectures?

Required frameworks include TensorFlow, Caffe, PyTorch, or similar options.

What technologies does Shield AI develop?

Shield AI produces Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies.

Ready to apply?

The application is on the official Shield AI careers page.

Apply on company site