Senior Machine Learning Engineer - Australia
Level inferred from job title
Job description
Senior Machine Learning Engineer at Neara building ML models that digitise real-world infrastructure from sources such as LiDAR, imagery and vector data, working across the full ML lifecycle.
At a glance
- Employment
- Full-time · Employee (employment agreement)
- Work mode
- Remote · Australia
What you'll 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 with different characteristics while reducing the time from the first model to production
- Improving the speed of model QA and identifying data and distribution drift in the models
- Working with a variety of data sources, including LiDAR, aerial photography, photogrammetry & GIS, and building scalable data pipelines to support training and serving
- Mentoring other engineers in best practices for model training and software engineering
- Providing mentorship to junior engineers, fostering a collaborative and innovative work environment
What we're looking for
- 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
- Current and unrestricted working rights in Australia
Benefits
Working on a genuinely complex, innovative and industry-leading product, making a genuine difference in the world around us
- Competitive salary
- Meaningful ESOP
- Fully Flexible Work Environment. We have a fully stocked office (and an impressive snack collection) in Redfern
- Regular office events
Apply
About Neara
Neara uses advanced machine learning to create engineering-grade, physics enabled digital twins of electricity grids across four continents, helping asset owners understand their biggest challenges and bring the most viable solutions to life across millions of kilometres of infrastructure.
Mission
Empower the world's largest utilities to pinpoint risks, optimise investments and build a more resilient global energy future.
Key facts
- Digital twins of electricity grids across four continents
- Simulates extreme weather and structural stress at a network-wide scale
- Uses AI and machine learning to accelerate everything from data classification to complex scenario analysis
- Office in Redfern
What they value
- Diversity, belonging and equal employment opportunities
- Innovation
- Continuous learning and growth