Algorithm Validation Engineer

at  Seeing Machines

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.

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.

• 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