Machine Intelligence Scientist
Build “human factors” machine intelligence, that is at the forefront of driver safety.

Seeing Machines (SM) is the world leader in the field of Safety-AI and prides itself on developing technologies that save lives, for real!
Around the globe and at any time of the day, there are hundreds of thousands of cars on the roads that are using state-of-the-art operator monitoring technology developed by Seeing Machines which provides real-time protection from distraction and drowsy-related driving events. Seeing Machines works with the world’s leading brands (eg. General Motors, Mercedes Benz, Qantas, Caterpillar, Toll) across multiple transport sectors of automotive, commercial road transport (Fleet), and aviation to enhance safety.
Inside Seeing Machine’s innovation engine, Machine Intelligence is an elite capability consisting of world-class researchers from the field of deep learning, machine learning, computer vision and embedded systems. Come, join us and help us design cars of the future!
About this role:
- Develop promising new technologies and tools in the field of 3D computer vision and deep learning to solve some very hard unsolved problems. You will be expected to develop a deep and thorough understanding of the fundamental concepts, as well as, have the mastery over the dark-art of fine-tuning the hyperparameters typically required to take the algorithms to the next level.
- Collaborate with a team of embedded experts to deploy algorithms on target platforms. This task will require you to develop expertise in the area of network quantization and compression.
- Actively participate in the advanced research activities of the group and supervise research interns that are funded by Seeing Machines to work on Blue-Sky research projects.
About you:
We value the breadth and depth of experience that our people bring to their work. We are seeking people with a good mix of technical competency and personal capability.
- Post-graduate qualifications - PHD or Master's in Computer Vision, Machine Learning, or equivalent.
- Exceptionally strong expertise in deep learning, machine learning and computer vision.
- Exceptionally strong expertise in python and deep learning libraries (tensorflow or pytorch).
- Strong problem solving, written and verbal communication skills.
Highly Desirable:
- Experience in building and deploying AI systems.
- Experience writing code in C++.
- Experience with Git and Docker.
- Strong demonstrable research record with publications in reputed conferences and/or journals.
Why Seeing Machines
- We are inventive, innovative and collaborative and are making a real difference to safety on roads, all around the world
- Work flexibly – we encourage our people to manage their work and personal lives to achieve a balanced outcome
- We are global, Seeing Machines serves a growing market in the UK, Europe, Africa, North America, Latin America, and Asia Pacific
- We are focused on employee support and understand the importance of our collective wellbeing. You will have access to our Employee Assistance Program any time you require it
- We reward and recognise achievement. You will have access to our global benefits and reward platform
- We are lucky enough to have fresh fruit supplied daily and if you work in Canberra, you'll have access to free parking.
For more information, visit: http://www.seeingmachines.com
Seeing Machines acknowledges Traditional Owners of Country throughout Australia and recognises the continuing connection to lands, waters and communities. We pay our respect to Aboriginal and Torres Strait Islander cultures; and to Elders past, present and emerging.
- Department
- Innovation - Advanced Engineering
- Locations
- Canberra
- Remote status
- Hybrid Remote

About Seeing Machines
We are a global company headquartered in Australia, an industry leader in computer vision technologies which enable machines to see, understand and assist people.
Our machine learning vision platform has the know-how to deliver real-time understanding of drivers through Artificial Intelligence (AI) analysis of heads, faces and eyes. This insight enables Driver Monitoring Systems (DMS), which monitors driver/operator identification and attention to prevent fatalities.
We exist to get people home safely.
Machine Intelligence Scientist
Build “human factors” machine intelligence, that is at the forefront of driver safety.
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