Data Collection Specialist | Canberra, ACT
|Category:||Data & Validation|
|Position Type:||Full Time|
|Attachments:||No File Attached|
|Application Close Date:||17-Dec-2019|
Seeing Machines is a world leader in human machine interaction. We are seeking a Data Acquisition Specialist to join our team and help us meet the ultimate challenge of understanding human beings. Seeing Machines designs human sensing technology (Driver Monitoring Systems) which focuses on real-world, human driving behaviours to make the world a safer, smarter place for drivers, operators and the wider community.
Our Data & Validation Group is vital to our success. This team collects and manages large validation and algorithm training datasets and applies their statistical analysis expertise to algorithm validation. They are an internal service division and provide vital assistance to the Research & Development team and other engineering groups.
About the opportunity
The Seeing Machines Data Acquisition team works alongside key business units, marking up video datasets and preparing the data for machine learning algorithm validation and training.
As a Data Acquisition Specialist, you will:
- gather data collection requirements through consultation with algorithm scientists and algorithm performance engineers
- develop data collection protocols by soliciting and sharing technical feedback from all relevant stakeholders
- prepare, execute and supervise data collection, data annotation and dataset curation activities in accordance with the approved data collection protocols and relevant guidelines
- monitor progress against milestones and administer review processes to ensure quality benchmarks are met
- support the Data Acquisition Supervisor by providing performance feedback on data acquisition assistants, and promote a continuous learning culture within the team
As a Data Acquisition Specialist, you will provide critical support to the R&D team - as they apply machine learning technology to continued development of our class leading algorithms and technology.
We are seeking people with the following attributes:
- strong organisational and management skills, with an ability to operate in a rapidly changing environment whilst maintaining high work quality and attention to detail
- good communication and interpersonal skills, and the ability to hold effective technical discussions with engineers
- ability to work with incomplete technical information and possess good problem-solving, analytical and critical thinking skills
- experience in writing technical documents and reports
- strong computer literacy, and experience with Microsoft Office
- experience in developing scripts (e.g. in Python) to process data
- experience in a technical supervisory role, especially in video image data collecting, processing and annotation (labeling) is highly desirable.
- a current driver's license and confidence to drive on public roads in order to assist in data collection activities.
How to apply
To apply, please upload your current resume and cover letter outlining your interest in the role and how you could make a difference at Seeing Machines.
Seeing Machines is a world leader in driver-machine interaction. We harness human factors science to create artificial intelligence (AI) technology that observes the driver's attention – reliably, unobtrusively, and in real time – and intervenes seamlessly when necessary.
Specialised computer vision algorithms underpin Seeing Machines' core camera-based driver monitoring technology. Algorithms allow us to precisely track eye gaze, head position and pupil size while our state-of-the-art AI technology analyses the data to quickly and accurately detect driver drowsiness, distraction and microsleep levels. We work with some of the world's leading brands to deliver this technology, helping keep drivers and operators engaged across commercial transport and logistics, automotive, aviation, rail and mining industries.
The WHY of our technology
• According to the World Health Organisation, over 1.3 million people die in road accidents, globally.
• The American Automobile Association says that 1 in every 10 auto accidents in the US is fatigue related and that 25% of US car accidents are caused by distraction.
• European Commission recommends that camera-based driver monitoring technology be mandated to enhance safety in cars, vans, trucks and buses from 2022.
• Air traffic is set to double over 15 years and the world's aviation fleet is set to double in 20 years. This creates a huge demand for more pilots and air traffic management which increases pressure on training and safety frameworks for the aviation industry, globally.
• Seeing Machines' Guardian technology for commercial fleets has been scientifically proven to reduce fatigue related driver events by more than 90%.