Staff Deep Learning Engineer — Edge Perception Innovator

Shieldai; City of Melbourne; On-site; AUD 110,000 - 170,000; Full time

Job summary

Shield AI is seeking a capable research engineer to push perception capabilities on autonomous and non-autonomous platforms. You will work on deep-learning based solutions, deploying models to edge devices and contributing to scalable ML tooling.

With 3–5 years of industry experience, you will collaborate with deep learning engineers, explore new architectures, and publish results while shaping practical perception challenges in real-world environments.

Qualifications

• Publications in CV/AI conferences or journals (CVPR/ICCV/etc.).
• C++ and Python development experience.
• Deep learning architectures for computer vision and image processing.
• Experience with object detection, SLAM, 3D reconstruction or related fields.
• Experience deploying DL models in embedded production contexts.

Responsibilities

• Research, design and implement state-of-the-art perception capabilities.
• Deploy AI stack to edge devices and scale DL operations.
• Collaborate with other engineers to build tools for scalable ML workflows.
• Stay current with literature and contribute to R&D projects.

Skills

Deep learning

Computer vision

Edge deployment

Mentoring

Education

Bachelor/Master/PhD in CS or related

Tools

C++

Python

PyTorch

TensorFlow

MLOps

Embedded systems

Job description

Shield AI is seeking a capable research engineer to push perception capabilities on autonomous and non-autonomous platforms. You will work on deep-learning based solutions, deploying models to edge devices and contributing to scalable ML tooling.

With 3–5 years of industry experience, you will collaborate with deep learning engineers, explore new architectures, and publish results while shaping practical perception challenges in real-world environments.