Staff Deep Learning Engineer — Edge Perception & Vision

Shield AI; City of Melbourne; On-site; AUD 120,000 - 180,000; Full time

Job summary

Shield AI invites you to join a cutting-edge team shaping perception technologies for autonomous and non-autonomous platforms. You will develop real-time, deep-learning-based perception capabilities and deploy them to edge devices, collaborating with fellow researchers to scale DL operations.

The role emphasizes publishing in top CV/AI venues and staying abreast of the latest DL architectures, including transformers and multi-modal models, while enhancing embedded production workflows.

Qualifications

• Demonstrable experience delivering deep-learning-based solutions to solve computer vision problems.
• Strong understanding of convolutional neural networks and/or transformers for classification, recognition or segmentation.
• Experience with Foundation Models and modern DL toolchains (TensorFlow, PyTorch, Caffe or equivalent).
• Relevant tertiary qualifications in a related field.

Responsibilities

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

Skills

Deep learning

Computer vision

Edge deployment

PyTorch

Foundation Models

Education

Bachelors/Master/PhD in Computer Science or related fields

Job description

Shield AI invites you to join a cutting-edge team shaping perception technologies for autonomous and non-autonomous platforms. You will develop real-time, deep-learning-based perception capabilities and deploy them to edge devices, collaborating with fellow researchers to scale DL operations.

The role emphasizes publishing in top CV/AI venues and staying abreast of the latest DL architectures, including transformers and multi-modal models, while enhancing embedded production workflows.