Responsibilities:
- Build and optimize algorithmic systems for conflating map data from aerial imagery and geospatial sources.
- Collaborate with AI researchers to implement and validate models, ensuring high-quality production code.
- Develop and maintain scalable data pipelines to handle large, complex datasets efficiently.
Qualifications:
- 5+ years of experience in numerical fields such as computer vision, applied math, or geospatial analysis.
- Proficiency in scientific Python, Linux, git, and machine learning fundamentals like hyperparameter optimization.
- Strong software engineering skills, with a pragmatic approach to building robust and scalable ML systems.
Work Environment:
- Fully remote position based on the East Coast of Australia, with daily stand-ups and collaborative pair programming.
- Use of modern tools, including AI coding assistants, to accelerate iterative development and problem-solving.
- A team-oriented culture focused on open communication, knowledge sharing, and practical outcomes.
Nearmap
Nearmap provides aerial imagery, AI analytics, and geospatial tools to help professionals plan, build, insure, and govern properties. The company emphasizes a collaborative culture that brings out the best in its employees.