Senior Machine Learning Engineer - Australia
Core
Create machine learning models to digitize real-world infrastructure (electricity grids) from diverse data sources like LiDAR and imagery to simulate extreme weather and structural stress.
Role type
Senior Machine Learning Engineer (Infrastructure/Digital Twins)
Builds
Engineering-grade digital twins of electricity grids for global utilities
Domain
Energy infrastructure / Power grids / Geospatial data
Deliverable
production ML models
Required skills
Machine Learning, Deep Learning, Software Engineering, PyTorch, TensorFlow, Jax, MLOps, Data Pipeline Development, Model Monitoring, QA
Preferred skills
Experience with LiDAR, aerial photography, photogrammetry, GIS, mentoring junior engineers
Technologies
PyTorch, TensorFlow, Jax, LiDAR, GIS
Responsibilities
Develop approaches to generate accurate electric networks from imperfect data using deep learning and classical ML algorithms; Develop and optimize training pipelines to reduce toil; Scale the serving of models for different problems; Improve the speed of model QA and identify data and distribution drift; Work with a variety of data sources including LiDAR, aerial photography, photogrammetry & GIS; Mentor other engineers in best practices for model training and software engineering
Seniority
Senior, hands-on IC with mentorship responsibilities