# Senior Staff Deep Learning Engineer (R5675)

**Company**: Shield AI
**Location**: Melbourne
**Work arrangement**: onsite
**Experience**: senior
**Job type**: International Office Entity
**Category**: Engineering
**Industry**: Technology

**Apply**: https://jobs.lever.co/shieldai/247d37ed-a7fd-4e2a-94ce-28902ab26fbd?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_b8540405-294

## Description

Join Shield AI's team to revolutionize perception capabilities for autonomous and non-autonomous platforms. As a Senior Staff Deep Learning Engineer, you will research, design, and implement state-of-the-art perception capabilities, turning cutting-edge insights into real-time, deep-learning-based solutions to solve practical perception challenges on the edge.

Responsibilities:

- Research, design, and implement state-of-the-art perception capabilities, taking ideas from conception into world-class field solutions

- Work with and deploy the AI stack to edge devices

- Collaborate with other deep learning engineers to architect and develop tools to scale up deep learning operations

- Stay updated with the literature and actively participate in various R&D projects

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

## Skills

### Required
- deep learning
- computer vision
- convolutional neural networks
- transformers
- Foundation Models
- TensorFlow
- Caffe
- PyTorch

### Nice to have
- C++
- Python
- object detection
- target tracking
- SLAM
- 3D reconstruction
- camera calibration
- behaviour analysis
- vision language models
- large multi-modal models
- automated video surveillance
- MLOps

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Source: [Apply at jobs.lever.co](https://jobs.lever.co/shieldai/247d37ed-a7fd-4e2a-94ce-28902ab26fbd?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)