We’re growing our team! We’re looking for an experienced Machine Learning Engineer who enjoys leading the development & research of Machine Learning & Computer Vision techniques and can creatively push the bounds of what machine learning can do. If the idea of spearheading the development and optimisation of Neural Networks excites you, then this is the role for you.
We’ve spent the past years developing our Convolutional Neural Network (CNN) to accurately detect humans at a sub-metre accuracy in a building. Along with the use of custom CNN models and computer vision, we’ve engineered our network to run completely on our edge devices. Your skills as a deep learning engineer and researcher will be essential to keeping our product at the forefront of the industry.
Being a fast-evolving technology, you’ll be required to keep abreast of new developments in academia and strategically plan how to test and implement new features & experiments. Heading up the Machine Learning development & research, your ability to coordinate and collaborate with a team will be pivotal to the success of the role.
Ability to publish research papers in deep learning where appropriate
Innovate to find new ways to improve deep learning models
Ability to stay on top of deep learning research
Deep learning that covers training models in GPU clusters, and inference at the edge
Hypothesising, testing and iterating on solutions to complex Deep Learning problems
Actively researching, investigating and implementing the latest papers and developments in the Deep Learning field
Drive innovation individually and as part of our machine learning team and come up with novel approaches to solve problems with Deep Learning
Ownership of the full ML pipeline from data to training to optimisation and beyond
Deep Learning Optimisation and Computer Vision
Python and Pytorch
Customising Object Detection Models
Designing custom Classification and Reidentification Models
Personally developed and experimented on your own Deep Learning models
A plus if you have any experience with
XY Sense helps make offices more effective for people. If you've ever struggled to find a free meeting room, a place to make a phone call, or even a desk to work at, you'll understand that offices of the world are nowhere near as effective as they should be. Companies spend millions of dollars on their real estate annually, and don't have clear feedback on how well offices work for their people. XY Sense’s cloud utilisation analytics platform, connected together with their groundbreaking AI space utilisation sensors uncovers how to best optimise the workplace.
Working at XY Sense is rewarding - everybody respects each other greatly and each team member makes a massive contribution to the company's success. We are transparent and fair and are working on something that we all find genuinely exciting and interesting. We focus on output and team rather than individuals and 9-5 hours.
XY Sense is backed by Blackbird Ventures, Australia’s most prominent venture capital fund.