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Senior Machine Learning Engineer - Australia
full-timeSydney

Summary

Location

Sydney

Type

full-time

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About this role

ABOUT NEARA

Imagine preventing wildfires before they start, or ensuring power grids stay resilient during extreme weather. That’s the real-world impact we create every day at Neara.

We build 3D physics-enabled digital twins of critical infrastructure networks that help utilities and infrastructure companies run scenarios, assess risks, and make smarter decisions that affect millions of lives.

We’re not just another tech company - we’re one of TIME’s 100 Most Influential Companies 2024. We're making tangible differences in communities worldwide. And we're backed by some of the world’s leading venture capital investors.

Our team is passionate, brilliant, and genuinely excited about solving problems that matter. We’ve built something special here: a culture where everyone owns our mission, innovation thrives, and great work gets recognised. And now we’re ready for our next chapter of growth.

As a Senior Machine Learning Engineer, you will create machine learning models that drive the digitisation of real-world infrastructure from a variety of data sources such as LIDAR, imagery, and vector data sources. Working at every stage of the ML lifecycle, from data collection and QA to training to model monitoring, you’ll dive deep into the data, decide which problems are worth solving with ML and define the ML strategy for said problems. 

This will involve staying updated with best practices in data handling, MLOps, as well as 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 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.

Some attributes we highly regard:

  • 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

Some of the benefits we have on offer: 

  • Competitive salary

  • Meaningful ESOP

  • Fully Flexible Work Environment. We have a fully stocked office (and an 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


To apply, please use the online application link below. Neara values diversity, belonging and equal employment opportunities. We encourage individuals from all backgrounds to apply. 

Please note that you will require current and unrestricted working rights to be considered for the role. Unfortunately, we are not in a position to offer visa sponsorship at this time.

No agencies or third-party service providers, please.
Questions? Email [email protected].

Other facts

Tech stack
Machine Learning,Deep Learning,Software Engineering,PyTorch,Tensorflow,Jax,Problem-Solving,Data Handling,MLOps,Model Monitoring,Mentorship,Data Pipelines,Training Pipelines,Model QA,Collaboration,Innovation

About Neara

Neara is the first physics-enabled digital twin that combines engineering-grade analysis at the individual asset level with network-wide scale. It goes beyond visualization, capturing real-world spatial relationships — and how they change in any condition — that are essential to answering any ‘what-if’ question about your network:

• Between assets and their surroundings — in a >50 mph SW wind scenario, where will assets breach safe clearance thresholds?
• Between assets themselves — if one pole fails, which other ones will go with it?
• Across layers of workflows — if a tower gets moved inland, how will vegetation encroachment zones shift?

It applies the same physics-verified rigor used in engineering design to the full set of critical infrastructure challenges — from asset management and wildfire mitigation to resiliency and reliability, and design and construction. It connects the granular perspective engineers need to maintain a structurally sound, safe system with the network-wide view leaders need to improve reliability and efficiency. With Neara, daily realities upgrade from:

• Chasing risks by problem area to prioritizing context-agnostic risks by total network impact
• Costly and inefficient manual processes to precise, automated workflows
• Messy, anecdotal, project justification to easy-to-audit business cases that hold up from the field to the boardroom and courtroom

Every analysis, from a single pole’s loading to a proposed new transmission route, is grounded in the same structural ground truth so infrastructure owners can prioritize and validate network investment to maximize impact and capital efficiency in every context on every timescale.

Trusted by global utilities including Southern California Edison, CenterPoint Energy, HEDNO, and ESB, Neara has modeled millions of assets across four continents — reducing key processes from years to hours, restoring service >3× faster, and saving tens of millions in annual costs.

Team size: 51-200 employees
LinkedIn: Visit
Industry: Software Development
Founding Year: 2016

What you'll do

  • As a Senior Machine Learning Engineer, you will create machine learning models to digitize real-world infrastructure and work through the entire ML lifecycle. You will also mentor junior engineers and ensure the integration of new techniques into the platform.

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Frequently Asked Questions

What does a Senior Machine Learning Engineer - Australia do at Neara?

As a Senior Machine Learning Engineer - Australia at Neara, you will: as a Senior Machine Learning Engineer, you will create machine learning models to digitize real-world infrastructure and work through the entire ML lifecycle. You will also mentor junior engineers and ensure the integration of new techniques into the platform..

Why join Neara as a Senior Machine Learning Engineer - Australia?

Neara is a leading Software Development company.

Is the Senior Machine Learning Engineer - Australia position at Neara remote?

The Senior Machine Learning Engineer - Australia position at Neara is based in Sydney, New South Wales, Australia. Contact the company through Clera for specific work arrangement details.

How do I apply for the Senior Machine Learning Engineer - Australia position at Neara?

You can apply for the Senior Machine Learning Engineer - Australia position at Neara directly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process. You can also learn more about Neara on their website.