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Senior Machine Learning Engineer - Australia
Neara
Melbourne, AUS
Full-time
Mid-Senior
Onsite
Discovered 1 weeks ago
Machine learningDeep learningSoftware engineeringPyTorchTensorFlowJAX
Free
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Role Overview
The Senior Machine Learning Engineer will create models that drive the digitisation of real-world infrastructure.
Data sources include LiDAR, imagery, and vector data.
The role spans data collection, quality assurance, training, model monitoring, machine learning strategy, and MLOps.
Key Skills for This Role
Machine learningDeep learningSoftware engineeringPyTorchTensorFlowJAX
Full Job Posting
About Neara
Neara uses advanced machine learning to create engineering-grade, physics-enabled digital twins of electricity grids across four continents.
The platform simulates extreme weather and structural stress at network-wide scale to help utilities identify risks and optimise investments.
The team applies AI and machine learning to data classification, scenario analysis, and other infrastructure problems.
Role overview
The Senior Machine Learning Engineer will create models that drive the digitisation of real-world infrastructure.
Data sources include LiDAR, imagery, and vector data.
The role spans data collection, quality assurance, training, model monitoring, machine learning strategy, and MLOps.
Some of the things you will contribute to
- Develop approaches to generate accurate electric networks from imperfect data using deep learning and classical machine learning algorithms.
- Develop and optimise training pipelines to reduce toil and idea-to-evaluation time.
- Scale model serving for different problems while reducing the time from initial model to production.
- Improve model QA speed and identify data and distribution drift in models.
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