Job Overview
Location
London
Job Type
Full-time
Category
Software Engineering
Date Posted
July 16, 2026
Full Job Description
đź“‹ Description
- • Imagine having the power to stress-test an entire power grid against a hurricane or thunderstorm before the clouds even gather. That is the reality we are creating at Neara.
- • We use advanced machine learning to create engineering-grade, physics enabled digital twins of electricity grids across four continents, this helps asset owners understand their biggest challenges and bring the most viable solutions to life across millions of kilometres of infrastructure.
- • By simulating extreme weather and structural stress at a network-wide scale, we empower the world’s largest utilities to pinpoint risks, optimise investments and build a more resilient global energy future.
- • Our team is a collection of brilliant minds who are fanatical about making a tangible difference in the real world, utilising AI and machine learning to accelerate everything from data classification to complex scenario analysis.
- • We have built a special culture where innovation thrives because everyone owns the mission and we need smart, creative people to help us scale this impact to every corner of the globe.
- • This role is located in Sydney, Australia - A relocation package and visa sponsorship will be provided as part of the salary package.
- • The Staff Machine Learning Platform Engineer owns the infrastructure and systems that allow Neara's ML discipline to move fast, ship reliably, and scale without breaking.
- • Neara is conducting cutting edge research, developing multi-modal spatial frontier models. You will help the team run faster, helping overcome challenges that have never been seen before in the world.
- • These models work with a range of less researched data types, including point cloud, geospatial data, and asset data.
- • The lack of research maturity in the geospatial domain and novel nature of the problem presents unique challenges around performance, data unification, and deployment.
- • The problem and role stretch beyond pure research. These models will be deployed with our global utility and new vertical customers, delivering real value and increased climate resilience for critical infrastructure.
- • Your role will be critical in both making sure we can develop frontier level spatial intelligence quickly and economically, but also in making sure we can deploy those models efficiently to our customers.
🎯 Requirements
- • A foundation in R&D to help drive the right direction and prioritisation necessary for faster iteration.
- • Demonstrated ability to set ML platform standards and interactions across teams, influence engineering roadmaps without direct authority, and drive alignment on complex infrastructure decisions.
- • Significant technical experience running deep learning at scale, with a track record of designing and operating the systems other ML engineers depend on.
- • Experience in building training data warehouses as well as bringing data systems to ML readiness.
- • Deep hands-on expertise building ML infrastructure at scale, in particular: training pipelines, distributed compute, model serving and model monitoring.
- • Deep familiarity with model monitoring, data quality frameworks, and the operational practices required to maintain a diverse portfolio of production ML models.
- • A proven investment in building others through documentation, internal standards, and raising the MLOps capability of the engineering discipline around you.
- • Strong proficiency in Python, PyTorch (or equivalent framework) and a passion for deep learning.
- • Demonstrated software engineering fundamentals across system design, code quality, and scalability, with a clear instinct for where to invest complexity and where to keep things simple.
- • Solid experience with cloud infrastructure (AWS, GCP, or Azure) and container orchestration (Kubernetes, Docker) as well as dealing with custom on-prem/neocloud offerings
- • Proficiency in writing and optimising custom CUDA kernels for deep learning training is a nice-to-have but not imperative
🏖️ Benefits
- • Full relocation to Australia
- • 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
Skills & Technologies
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About Neara Inc.
Neara Inc. is a technology company specializing in advanced infrastructure mapping and digital twin solutions. Leveraging AI and machine learning, Neara creates highly accurate, 3D digital representations of physical infrastructure, including power grids, telecommunications networks, and transportation systems. These digital twins enable organizations to visualize, analyze, and manage their assets with unprecedented detail. The platform facilitates improved decision-making for maintenance, upgrades, and emergency response planning. Neara's technology helps utility companies, government agencies, and other infrastructure operators enhance operational efficiency, reduce risks, and ensure the reliability and resilience of critical assets. Their focus is on providing actionable insights from complex data.
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