Staff Deep Learning Engineer (R5677)

Shield AI
Melbourne
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 3-5 yearsSkills: ["Mentoring","Collaboration","Research"]

Build and deploy deep-learning-based perception capabilities for edge systems, tackling real-world computer vision problems such as object detection and tracking, 3D reconstruction, SLAM, and related fields. Research and implement state-of-the-art architectures using frameworks like PyTorch or TensorFlow, then work with the AI stack to run models on embedded devices. Collaborate with other deep learning engineers to scale deep learning operations and mentor junior team members.

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FursaFursa
Shield AI
Shield AI
2 days ago

Staff Deep Learning Engineer (R5677)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Build and deploy deep-learning-based perception capabilities for edge systems, tackling real-world computer vision problems such as object detection and tracking, 3D reconstruction, SLAM, and related fields. Research and implement state-of-the-art architectures using frameworks like PyTorch or TensorFlow, then work with the AI stack to run models on embedded devices. Collaborate with other deep learning engineers to scale deep learning operations and mentor junior team members.
Location: Melbourne
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Research, design, and implement state-of-the-art perception capabilities for field solutions.
  • •Work with and deploy the AI stack to edge devices for real-time perception use cases.
  • •Architect and develop tools that help scale deep learning operations in collaboration with other engineers.
  • •Stay abreast of computer vision and deep learning literature and actively contribute to R&D projects.
  • •Collaborate on maintaining or setting up MLOps systems and services supporting deep learning deployment.

Key Requirements

  • •3–5 years 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 working with foundation models and implementing novel network architectures using frameworks like TensorFlow, Caffe, or PyTorch.
  • •Experience deploying deep learning models in embedded production, including pruning, quantization, and performance tuning.
  • •Relevant tertiary qualifications in Computer Science or related fields.
Experience:3-5 yearsComputer visionMachine learningDeep learningEmbedded AIMLOps
Education:
Skills:MentoringCollaborationResearch
Tech Stack:C++PythonTensorFlowCaffePyTorchConvolutional neural networksTransformersMLOps

Company Brief

Shield AI
Develops AI-powered autonomy and software for military aircraft and drones to enable autonomous ISR and combat missions, integrating perception, navigation, and mission planning for defense customers.
Industry: Defense Technology
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Funding: Series E+
Headquarters: San Diego, United States
Founded: 2015
WebsiteLinkedIn