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 talent@neara.com.
