Senior Machine Learning Engineer - Australia

The role

You will create machine learning models to digitize real-world infrastructure from LIDAR, imagery, and vector data sources. You will work across the ML lifecycle, from data collection and QA to training and model monitoring.

What you will do

• Developing approaches to generate accurate electric networks from imperfect data using deep learning and classical ML algorithms
• Developing and optimising training pipelines to reduce toil and idea-to-evaluation time
• Scaling the serving of models for different problems and characteristics
• Improving the speed of model QA and identifying data and distribution drift
• Working with LiDAR, aerial photography, photogrammetry, GIS, and building scalable data pipelines
• Mentoring other engineers in best practices for model training and software engineering
• Defining the ML strategy for problems
• Staying updated with best practices in data handling, MLOps, and machine learning advancements

Required qualifications

• Demonstrated experience with Machine Learning and Deep Learning
• Strong foundation in software engineering
• Proficiency in frameworks like PyTorch/Tensorflow/Jax
• Excellent problem-solving skills as applied to new domains
• Ability to work effectively asynchronously and cross-functionally on ill-defined problems
• Ability to own problems and proactively approach challenges

Benefits

• Competitive salary
• Meaningful ESOP
• Fully Flexible Work Environment
• Fully stocked office and snack collection in Redfern
• Regular office events

Before you apply

• You will require current and unrestricted working rights
• Visa sponsorship is not offered

About the company

Neara uses advanced machine learning to create engineering-grade, physics enabled digital twins of electricity grids across four continents.