Neara

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.ABOUT THE ROLEUtilities come to Neara with questions that used to take months of engineering work to answer. Which of our poles can safely stay in service? Where will vegetation contact the line in the next storm season? What happens to this circuit if we add 200MW of solar? Today, getting to those answers means knowing your way around a deep, powerful platform.We are building a layer of AI-powered features on top of that platform so that far more people can get to those answers, far faster — and so that the answer comes back grounded, traceable, and defensible to an engineer who has to sign their name against it.This is a new team. As one of our first AI Product Engineers you will be shipping LLM and agentic features into a product that utilities use to make decisions about critical infrastructure, and helping set how we build with AI across engineering: our evaluation discipline, our guardrails, and our judgement about what these systems should and should not be allowed to do.To be clear about what this role is not: our Digitisation and ML Platform groups already build and run the computer vision and machine learning that turns lidar and imagery into a digital twin. You will work closely with them, but you are not doing that. Your job is the product layer — LLMs, agents, retrieval and tool use, grounded in the twin, the physics engine, and the network data our customers already trust.WHAT YOU WILL DO<ul><li>Design, prototype and ship AI-powered features end to end — from a problem raised by a utility engineer through to something running in production and being used.</li><li>Build agentic and retrieval-based systems that are grounded in the Neara digital twin, our simulation outputs and our internal expression language, so that every answer can be traced back to the model it came from.</li><li>Own the hard part: making AI output trustworthy in a domain where a confidently wrong answer about clearance or pole loading is a safety problem, not a bad user experience. Design the guardrails, the refusals, the confidence signals and the human-in-the-loop checkpoints.</li><li>Build the evaluation discipline behind all of it — eval sets, regression testing when a model or prompt changes, offline and online quality signals, observability, prompt and context versioning, and cost and latency budgets.</li><li>Work alongside our power systems and GIS specialists to make sure what we ship is engineering-grade, not just plausible.</li><li>Spend real time with customers. Work with Product, Design and our customer-facing teams to decide what we build, kill the ideas that don't hold up, and iterate on what does.</li><li>Set the standard for how Neara engineers build with AI, including how we use coding agents in our own workflow.</li></ul>WHAT WE ARE LOOKING FOREssential<ul><li>[5]+ years building and shipping production software, with real depth in backend or full-stack product engineering. We need strong software engineers first.</li><li>You have shipped AI features to paying customers in a commercial product, and owned them after launch. Not a prototype, a hackathon or a weekend project — something real users depended on, that you watched break and fixed. You can talk about who used it, how many, and why it mattered to them.</li><li>Hands-on experience with the things that make LLM products actually work: retrieval, context engineering, tool use and agent orchestration, structured output, and prompt design.</li><li>You take evaluation seriously and can describe an eval approach you built, what it caught, and what it missed.</li><li>Sound judgement about where AI should and should not be used, and the instinct to design for failure modes rather than for the happy path.</li><li>Strong product sense and comfort working directly with users &amp; product teams — including expert users who will tell you bluntly when the software is wrong.</li></ul>Nice to have<ul><li>Experience shipping into regulated or enterprise environments: data residency, auditability, private deployments, security review.</li><li>Geospatial, 3D, CAD, simulation or other engineering software backgrounds.</li><li>Experience with our stack: TypeScript/React, Python, Java, Dart/Rust - Experience in our exact stack is not required — we care more about how quickly you pick a new one up, and how deeply you already use AI coding tools in your day-to-day work.</li><li>Utilities, energy or critical infrastructure domain knowledge.</li></ul>WHAT WE OFFER<ul><li>Competitive salary and meaningful ESOP</li><li>Fully flexible working arrangements with a well-stocked office in Redfern</li><li>Regular office events</li><li>The real benefit: working on a complex, innovative and industry-leading product that makes a real difference in the world around us.<div> </div></li></ul>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.<div> </div>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.<div> </div>No agencies or third-party service providers, please.#LI-AP1

AI Product Engineer

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.Data Scientist, GeospatialWe're looking for a Data Scientist, Geospatial to join our Houston team, supporting a key regional electric utility. You’ll work directly with their team to build physics-backed models on Neara, leveraging complex datasets like LiDAR, GIS, asset records, and weather data. Your work will directly prevent wildfires by simulating vegetation encroachment, predict grid failures under extreme weather loads, and inform capital investment decisions to harden critical infrastructure.What You Will Do:<ul><li>Embed and collaborate directly with customer geospatial and GIS teams in a hybrid setting, spending time on-site at their offices to deeply understand their data workflows, integrate systems, and solve complex spatial challenges.</li><li>Build predictive risk models on Neara that combine LiDAR, terrain models, and weather data to simulate conductor sag, sway, and vegetation fall-in risks to directly prevent wildfire ignitions.</li><li>Translate complex spatial and structural risk metrics into defensible, data-driven insights that inform utility capital investment decisions for grid hardening.</li><li>Build and maintain robust spatial data pipelines to ingest, clean, vectorize, and integrate diverse geospatial data formats from our utility partner.</li><li>Establish QA/QC benchmarks for spatial accuracy, coordinate reference system (CRS) transformations, and structural alignment across disparate data sources.</li><li>Mentor others in best practices for model training, data analytics, and building data-driven products.</li></ul>Who You Are:<ul><li>5+ years of hands-on experience in data science or machine learning. Geospatial data or power grid domain experience is a plus.</li><li>Strong quantitative intuition for data, with excellent communication skills and proven experience presenting complex findings to customers and senior leaders.</li><li>Experience working in fast-paced, high-growth scale-up technology environments is a plus.</li><li>Self-driven with a bias for action; comfortable taking full ownership of complex projects and adapting quickly to shifting priorities.</li><li>Natural collaborator who thrives at the intersection of technical teams (ML, Software) and external customer stakeholders.</li><li>Grounded, resourceful approach to problem-solving, with a track record of navigating messy, real-world datasets to deliver clear, business-driven outcomes.</li></ul>What We Offer:<ul><li>Work with an industry-leading, multi-modal spatial data stack - including airborne LiDAR, high-resolution satellite imagery, and physics-enabled digital twins - to solve real-world engineering challenges at immense scale.</li><li>Your spatial modeling will directly mitigate wildfire risks, optimize utility vegetation management, and harden critical infrastructure across millions of kilometers of energy grids.</li><li>Shape the spatial architecture of our core product line while collaborating with top-tier ML and software engineers.</li><li>Enjoy a highly competitive compensation package with a significant equity component, ensuring you are a true stakeholder in our rapid global scaling.</li></ul>#LI-NT1 #LI-DNP

Data Scientist, Geospatial

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.Data EngineerAs a Data Engineer, you will transform raw utility and geospatial data into high accuracy digital twin models of electricity networks. You will work with GIS, LiDAR, and asset data sets, configure models using Neara’s schema language, and ensure engineering grade accuracy. You will join the Deployment Team responsible for delivering the Neara platform to utility customers worldwide.What You Will Do:<ul><li>Contribute to the end-to-end deployment of the Neara platform for utility customers worldwide.</li><li>Ingest and manipulate massive datasets (LiDAR, GIS, and asset databases) using Neara’s schema language and configuration framework.</li><li>Perform rigorous QA/QC to ensure the digital twin accurately reflects real-world physics and customer specifications.</li><li>Build custom reports and dashboards within the platform to drive actionable insights for utility engineers.</li><li>Work closely with Product and Engineering to provide feedback on process and tool improvements to speed up future deployments.</li></ul>Who You Are:<ul><li>Proven experience as a Data Engineer, Implementation Engineer, Integration Engineer, Software Engineer, or similar role.</li><li>Proficiency in at least one major language (such as SQL, Python, or similar) and a demonstrated ability to learn a new language. You should be comfortable learning and mastering a new schema language to manipulate data and build reports.</li><li>Excellent written communication skills with experience contributing to internal knowledge bases and external user manuals. Ability to articulate technical configurations clearly to diverse audiences in fluent English.</li><li>A background in engineering, mathematics, software engineering, computer science, or a related field is preferred. Familiarity with GIS, CAD geoprocessing, or LiDAR data can be beneficial to accelerate the learning curve for this platform.</li><li>The ability to break down complex data discrepancies and systematically reconfigure models to ensure 100% accuracy.</li></ul>What We Offer:<ul><li>We offer a competitive salary and private health insurance, 20 days of holiday plus a "birthday leave" day, and a flexible, team-driven environment with the option to work hybrid from our office in Vilnius (complete with office snacks).</li><li>Your work directly impacts the safety and reliability of global power grids, helping utilities prevent wildfires and prepare for climate-driven weather events.</li><li>You’ll gain expert-level proficiency in our engineering-grade 3D modeling environment and exposure to the cutting edge of Digital Twin technology.</li><li>We are scaling fast. As a Data Engineer, you’ll be at the forefront of our delivery engine, with opportunities to influence our product roadmap and automate our core deployment processes.</li></ul>#LI-NT1 #LI-DNP

Data Engineer

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.Principal Research Scientist - RiskWe are seeking an experienced research scientist to contribute to Neara’s internal research group in topics of system resilience, reliability, and policy. In this role, you will define a research agenda, develop rigorous statistical and decision models, and translate findings into tools and recommendations for utilities managing billions of dollars in capital expenditure.Neara provides network-scale structural, loading, and contextual data across complete overhead electrical systems. As a Principal Research Scientist - Risk, you will use this information to build generalizable models of asset failure and determine the value of additional data, inspections, and interventions.What You Will Do:<ul><li>Contribute to Neara’s applied research function for infrastructure risk and resilience.</li><li>Establish rigorous standards for risk modeling, uncertainty quantification, and decision-making.</li><li>Develop predictive models for equipment damage, vegetation failure, outage likelihood and duration, and wildfire-related risk.</li><li>Design decision models that quantify the operational and economic consequences of resilience and reliability investments, including asset replacement, vegetation management, and network redesign.</li><li>Quantify the value of data including pole loading analysis, visual inspections, and the installation of new devices and remote sensing capabilities, both empirically and by analytical methods.</li></ul>Who You Are:<ul><li>A PhD in statistics, applied mathematics, physics, computer science, operations research, engineering, or a comparable record of original research and applied technical work.</li><li>Proven track record of independently defining, driving, and executing a substantial research agenda as a senior individual contributor or industry principal, demonstrated through influential publications, patents, or production systems.</li><li>Recognized subject matter expert with deep technical authority and a history of setting research direction without needing direct management oversight.</li><li>Extensive experience in probabilistic modeling, uncertainty quantification, model validation, scientific computing capabilities and decision-making under incomplete information.</li><li>Substantial experience modeling operational systems. Particularly relevant topics include insurance or catastrophe modeling; weather prediction and climate hazard; outages in power systems; and reliability engineering.</li></ul>What We Offer:<ul><li>A highly competitive compensation package including an equity component to ensure you directly benefit from Neara’s sustained success and impact on critical infrastructure.</li><li>The opportunity to work on a cutting-edge, 3D physics-enabled platform used to anticipate the impact of extreme events, reduce infrastructure failure, and direct investment. Access to unique network-scale utility data unavailable in other industrial research settings.</li><li>The opportunity to help develop and build Neara’s research modeling function, establishing the agenda, identifying preferred methods and working on novel under-specified problems.</li><li>A central role in shaping Neara’s long-term product roadmap, analytical standards and customer advisory services.</li><li>Flexible hours and working arrangements designed to help you do your best work from where you work best.</li></ul>#LI-NT1 #LI-DNP

Principal Research Scientist - Risk

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.The Senior MLOps Engineer builds and runs the pipelines, deployment systems, and observability that keep Neara's ML models training reliably and serving in production. 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 getting models out of the lab and into customer environments - reliably, repeatably, and economically. <h2>WHAT YOU'LL DO</h2><ul><li>Build and operate ML pipelines - Own the training, evaluation, and deployment pipelines end-to-end, from data ingestion through to models running in customer environments.</li><li>Automate the path to production - Build CI/CD for models, artefact and model registries, reproducible environments, and infrastructure as code that takes an experiment to a deployed service without manual steps.</li><li>Keep production models healthy - Implement monitoring, alerting, and drift and data quality checks, and act as a first responder when something breaks.</li><li>Run distributed training infrastructure - Manage GPU clusters and scheduling, keep jobs efficient and utilisation high, and troubleshoot failures across cloud, on-prem, and neocloud environments.</li><li>Ship reliable serving infrastructure - Deploy and scale inference services that handle spiky load across regions and customers, with attention to latency, cost, and data residency requirements.</li><li>Remove friction for the ML team - Improve the tooling and workflows ML engineers use daily, and document the standards that keep things consistent as the team grows.</li></ul><h2>WHAT YOU'LL BRING</h2><ul><li>Solid hands-on experience building and operating ML training pipelines, model serving, and monitoring systems in production.</li><li>Strong Python, and working knowledge of PyTorch (or equivalent) - enough to debug a training job, not necessarily to design the model.</li><li>Practical experience with distributed training and GPU infrastructure, including scheduling, resource management, and diagnosing throughput or memory issues.</li><li>Experience in the cloud (AWS, GCP, or Azure), container orchestration (Kubernetes, Docker), and infrastructure as code.</li><li>Experience with production model monitoring, data quality frameworks, and preparing training data for ML readiness.</li><li>Sound engineering judgement - you write maintainable code, think about failure modes, and know when a quick fix is fine and when it isn't.</li><li>Bonus: CUDA or kernel-level optimisation experience, exposure to point cloud or geospatial data, or experience supporting deployments into regulated or air-gapped customer environments.</li></ul><h2>WHAT'S IN IT FOR YOU?</h2><ul><li>Competitive salary</li><li>Meaningful ESOP</li><li>Fully Flexible Work Environment. We have a fully stocked office (and an impressive snack collection) in Redfern.</li><li>Regular office events</li><li>The real benefit is working on a genuinely complex, innovative and industry-leading product, making a genuine difference in the world around us</li></ul>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.No agencies or third-party service providers, please. #LI-AP1

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AI Product Engineer

Data Scientist, Geospatial

Data Engineer

Principal Research Scientist - Risk

Senior Machine Learning Engineer (Platform)

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