5 hours 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 reliable operations.
- Improve pipeline speed and cost through profiling, GPU utilization, distributed compute, and compiled code.
- Measure output quality and validate model and pipeline changes against current outputs before release.
- Turn research models into production systems operating 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 deliveries and lower-latency services.
- Review code, share knowledge, and maintain clean, tested, documented scientific Python.
- Build tools and systems that help internal users find and use 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 ML systems.
- Experience working with data too large for memory across multiple nodes on scalable cloud compute.
- Understanding of machine learning fundamentals including regularisation, hyperparameter optimisation, and validation methods.
- Ability to form hypotheses and validate them with statistical tests.
- Strong systems thinking balanced with pragmatism.
- Highly desirable: experience with cloud-native scalable compute and operationalising numerical applications and workflows in production.
- Highly desirable: machine learning applied to image and geospatial data.
Benefits
- Flexible time off and four additional annual “YOU” 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 this role.
- Stocked kitchen and in-office lunch every Tuesday and Thursday at the Sydney CBD office.
- Showers available for employees cycling 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.