Seeing Machines has developed the world’s most advanced human data-driven technology which enhances transport safety by dramatically reducing fatal accidents every day. We’re on a mission to achieve zero transport fatalities.

With at least 1 million cars on the road using our state-of-the-art operator monitoring technology developed by the passionate team at Seeing Machines, we provide real-time protection from distraction and drowsiness-related driving events. Seeing Machines works with many of the world’s leading brands (including General Motors, Mercedes Benz, Qantas, Caterpillar, Toll) across the transport sectors automotive, commercial road transport (Fleet), and aviation.

Location: Canberra, ACT

Employment Term: Full Time, Permanent

Reporting To: Algorithm Validation Team Manager

Seeing Machines is engaged on a multitude of programs at the forefront of innovation, being delivered by highly skilled engineers and scientists. These programs require world-class Engineers to support the successful design, development, and integration of Seeing Machines DMS technology for customers across the world.

As part of the Test Engineering Department the Algorithm Validation Engineer is responsible for analyzing data and developing the Seeing Machines performance reporting toolkit. Using this toolkit, you will validate the performance of the driver monitoring algorithms to meet requirements for release to internal and external customers. You will also manage and curate a large set of test data for performance tests.

If it sounds a bit like you – read on for more information below and Apply!

Key Responsibilities:

• Design of algorithm performance specifications and methods to validate algorithm performance
• Design, development and deployment of automated tools for performance analysis and reporting
• Python scripting to support data wrangling and performance validation
• Development and execution of performance test plans
• Hands-on quantitative data analysis of algorithm performance KPIs
• Managing the lifecycle of large and complex datasets
• Continuous innovation and development of the Performance Validation Roadmap
• Providing technical expertise on performance validation and data management topics within the engineering team

Knowledge, Skills and Experience:

• Tertiary qualifications in software engineering, systems engineering, computer science, data science or a similar quantitative discipline or equivalent industry experience.
• Strong Team player.
• Strong problem solving, data analysis and analytical skills.
• Strong English communication and interpersonal skills, and ability to hold effective technical discussions.
• Self-motivated and proactive with demonstrated ability to set priorities and meet deadlines.

      Mandatory:

• Experience in developing Python scripts to process data.
• Demonstrable experience in algorithm or product testing, preferably in the Computer Vision domain.
• Strong experience in quantitative methods of data analysis, data wrangling and data intuition skills.
• Strong computer literacy, and experience with Microsoft Office or Google Suite tools.

      Desirable:

• Experience in automotive software development for embedded software devices, C++
• Hands-on proficiency with full data analysis stack (e.g. Python numerical analysis and visualization stack, R)
• Cloud based frameworks and services (AWS)
• Data standards, Data Privacy and Protection Regimes
• Commercial experience in Automotive, Transport, Aviation or Medical industry.

Why Seeing Machines

• Being part of something meaningful - 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

• Diversely Strong - 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 recognize achievement. You will have access to our global benefits and reward platform.

For more information, visit: http://www.seeingmachines.com

Seeing Machines acknowledges Traditional Owners of Country throughout Australia and recognizes 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.