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Key Responsibilities:
- Design and scope greenfield machine learning projects in collaboration with the team
- Develop and deliver end-to-end solutions to complex technical problems
- Train and optimize deep learning models using our extensive multi-temporal, multi-angle, and 3D imagery datasets
Qualifications:
- Ability to code in scientific Python, using a Linux environment, and Git for source control
- Strong grasp of machine learning fundamentals
- Applying modern artificial neural networks to solve machine learning problem
Personal Attributes:
- Prioritize pragmatic solutions that work over elaborate theory when shipping products
- Communicate well, share knowledge, and be open to taking on ideas from anyone on the team
- Thoroughness in model development, testing, and documentation
Nearmap
Nearmap is driving the reshaping of how the world understands the built environment. They put powerful aerial imagery, AI-driven analytics, and geospatial tools into the hands of people who plan, build, insure, and govern the places we live and work.