Engineer II, Deep Learning (R5178)
At a glance
Mid-level Machine Learning Engineering role at Shield AI. Melbourne · full-time.
Pay not stated Machine Learning Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Develop perception features from early research through field-ready use on autonomous and other platforms
- Put the AI stack onto edge devices for deployment
- Build tools with deep learning engineers to expand deep learning operations
- Track research publications and take part in R&D projects
What you bring
- You have less than one year of industry experience delivering deep learning solutions for computer vision
- You understand CNNs or transformers for classifying, recognizing or segmenting objects
- You have built new network designs with TensorFlow, Caffe, PyTorch or a comparable framework
- You hold a relevant computer science degree or another related tertiary qualification
Who this fits
This mid-level engineering role suits someone focused on deep learning and computer vision. The role is based onsite in Melbourne, Australia.
From the employer
Job Description:
Join Our Team: Shape the Future of Perception Technology ! 🚀
Are you ready to revolutionize the world of perception capabilities for both autonomous and non-autonomous platforms?
At the forefront of innovation, we are pushing the boundaries of what’s possible, turning cutting-edge insights into real-time, deep-learning-based solutions to solve practical perception challenges on the edge. Your skills will play a key role in driving transformative solutions that redefine the future.
Be part of a dynamic team where innovation meets impact. Let’s shape the future together!
What you'll do:
- Research, design and implement state-of-the-art perception capabilities, taking ideas from conception into world-class field solutions
- Work with and deploy our AI stack to edge devices
- Work in collaboration with the other deep learning engineers to architect and develop tools help to scale up our deep learning operations
- Stay abreast with the literature and actively involve in various R&D project(s)
Required qualifications:
- Demonstrable experience in delivering deep-learning-based solutions to solve computer vision problems with industry-based experience between < 1 year
- Strong understanding of using convolutional neural networks and/or transformers for object classification, recognition or segmentation
- 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)
Machine Learning Engineering work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Machine Learning Engineering
Find me workBy the team behind aimlroles.