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DirectorFull-timeMachine LearningData SciencePyTorchML
Salary Range
$138,720 - $187,680 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Senior Data Scientist to join Nearmap's Data Science team. This role focuses on designing, prototyping, and developing machine learning products using Nearmap imagery data.
Key Responsibilities
- →Own the modelling lifecycle end-to-end: problem formulation → dataset strategy → training → evaluation → error analysis → improvement
- →Develop, or select and make novel adaptations to, model architectures for 2D/3D vision tasks using Nearmap’s multi-date, multi-angle, and 3D data
- →Use PyTorch and important associated packages and libraries (timm, xformers) to develop bespoke models that underlie Nearmap products
- →Remain familiar with core conceptual elements of modern deep learning (attention, positional encoding, receptive field, pre-training)
- →Keep up to date with important developments in the field, such as innovations in the fields of vision and 3D
- →Design experiments and ablations to understand what drives performance and to de-risk model changes
- →Improve model performance through sampling strategies, labelling guidance, quality checks, and targeted collection for hard/rare cases
- →Work with ML Engineers to productionise models and ensure they are robust (monitoring, regression testing, reproducibility)
- →Communicate clearly about trade-offs, failure modes, and performance, primarily to technical stakeholders
Requirements
- ✓Experience with PyTorch and associated packages and libraries
- ✓Strong understanding of deep learning concepts
- ✓Knowledge of computer vision and 3D data
- ✓Ability to design experiments and ablations
- ✓Experience with model production and robustness testing
- ✓Excellent communication skills
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