1 day ago
Sydney, AustraliaSenior
Responsibilities
- Design, build, and operate production pipelines that transform aerial imagery and geospatial data into property-level map data.
- Monitor pipeline runs, diagnose failures, and fix root causes to maintain reliability.
- Improve pipeline performance and cost through profiling, GPU utilization, distributed computing, and compiled code where appropriate.
- Measure data quality and validate model or pipeline changes against current outputs before release.
- Turn research models into production systems that run across whole countries.
- Develop geospatial algorithms for tasks such as stitching features across tile boundaries and clipping them to property parcels.
- Deliver data through batch outputs and lower-latency services.
- Review code, share knowledge, and maintain clean, tested, and documented scientific Python.
- Build tools that enable internal users to find and use Nearmap data and support those users.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Statistics, Physics, or a related field; a master’s or PhD is a bonus but not required.
- 5+ years of experience in a numerical field such as applied mathematics, physical sciences, computer vision, or geospatial analysis.
- Proven ability to write high-quality production numerical code focused on business outcomes.
- Experience with scientific Python, Linux, and Git.
- Knowledge of modern software engineering practices, clean code, robustness, correctness, and scalable machine learning systems.
- Experience working with data too large for memory across multiple nodes on scalable cloud compute.
- Understanding of machine learning fundamentals including regularization, hyperparameter optimization, and validation methods.
- Ability to form hypotheses and validate them with statistical tests.
- Strong systems thinking combined with a pragmatic approach.
- Highly desirable: experience with cloud-native scalable computing, production operationalization of numerical applications and workflows, and machine learning applied to image and geospatial data.
Benefits
- Flexible time off and four additional annual “YOU” days or wellbeing days.
- Generous parental leave policies.
- Work from Overseas Policy for approved cities.
- Discounted private health insurance plans.
- Nearmap subscription.
- Wellbeing and technology allowance.
- Annual flu vaccinations.
- Hybrid flexibility for the role.
- Stocked kitchen with snacks.
- In-office lunch every Tuesday and Thursday at the Sydney CBD office.
- Showers available for employees cycling to work or exercising during the day.
Categories
About Nearmap
Nearmap provides high-resolution aerial imagery and AI-driven property intelligence delivered through web applications and APIs for insurers, government agencies, and AECO organizations. The company operates a recurring subscription model for frequently updated captures and analytics that support underwriting, claims, planning, and construction. Founded in 2009 and headquartered in Barangaroo, NSW, Nearmap was acquired by Thoma Bravo and serves customers across Australia, New Zealand, and North America.