Senior Machine Learning Engineer at Neara

Neara is a high-growth, venture-backed Series B, tech company headquartered in Sydney, Australia. Recognised as one of the Times 100 Most Influential Companies of 2024, our vision is to change how the world operates, build and designs critical infrastructure. We work with 75% of the utilities in Australia and New Zealand and are rapidly expanding across the US and Europe. Our mission is to revolutionise the utilities industry with our 3D digital network model, enabling utilities to future-proof their infrastructure and navigate the clean energy transition. 

As a Senior Machine Learning Engineer, you will create optimised, state of the art 3D graphical user interfaces and build physics simulation engines that scale across millions of assets. Your work will directly impact the accuracy and reliability of our simulations and analyses, helping utilities and infrastructure companies make informed decisions. This will involve staying updated with the latest advancements in machine learning to integrate new techniques into our platform, ensuring it remains at the cutting edge of the industry. You will also provide mentorship to junior engineers, fostering a collaborative and innovative work environment that encourages continuous learning and growth.

At Neara, you will be part of a team that values your ideas, supports your development, and celebrates your successes. If you are motivated and results-driven, we’d like to meet you.

Some of the things you will contribute to:

• Developing approaches to generate accurate models from imperfect data using deep learning and classical algorithms 
• Developing approaches for intelligent network scale insights
• Developing and optimize training pipelines
• Developing data structures that can perform in real-time with user interaction on large underlying data sets
• Working with a variety of data sources, including LiDAR, aerial photography & photogrammetry, and structured data. 
• Putting your software engineering skills to the test in organising functionality for many use cases in a complex domain (this is not an "on click button, send RPC" kind of application)
• Mentoring other engineers in best practices

Some attributes we highly regard:

• Background in software development and machine learning coupled 
• You have a superb working knowledge of Python and C++ (Java is a plus). 
• Most of all, you’re passionate about Machine Learning and building best-in-class, complex software solutions. 
• An expert in Deep Learning and can bring new ideas to the business on how best to solve our customers' unique problems in our software platform.

Some of the benefits we have on offer: 

• Competitive salary
• Meaningful ESOP
• Fully Flexible Work Environment. We have a fully stocked office (and impressive snack collection) in Redfern.
• Regular office events
• The real benefit is working on a genuinely complex, innovative and industry leading product making a genuine difference in the world around us