Jobs at Neara

Build a self-service digital twin platform that connects machine learning algorithms with internal delivery teams. Responsibilities include designing production-grade systems, enabling users to run and correct digital twin builds, creating scalable workflow frameworks, improving tooling performance, surfacing model quality issues, incorporating human corrections into ML systems, gathering user requirements, and supporting global rollout.

Build and ship trustworthy AI product features for Neara’s utility digital-twin platform. The role focuses on LLMs, agents, retrieval, tool use, evaluation, observability, guardrails, and human-in-the-loop workflows grounded in simulation and network data. You will work directly with utility customers, product and engineering teams to deliver production systems, establish AI development standards, and ensure outputs are traceable, safe, and engineering-grade.

Own strategic enterprise utility accounts from delivery through adoption, measurable value, and growth. Lead complex technology programs, configure the platform to customer workflows, manage organizational change, define ROI frameworks, advise executives, and identify expansion opportunities. Serve as the internal customer advocate while bringing field insights to Product. The role requires strong technical depth, commercial judgment, executive communication, and significant experience delivering enterprise technology outcomes.

Own customer success across enterprise utility accounts by becoming a platform expert, supporting network model builds, driving adoption through training and workshops, tracking business outcomes, providing technical guidance, identifying expansion opportunities, and sharing customer insights with Sales, Deployment, and Product. The role is customer-facing, technically oriented, and focused on helping infrastructure and energy customers realize value from Neara’s AI-powered digital twin platform.

Own Neara’s global deployment engine, including digital-twin model building, QA, deployment operations, contractor management, delivery economics, and quality standards. Lead distributed teams across multiple regions, standardize and automate delivery processes, manage capacity and risk, develop regional leaders, and improve throughput, forecasting, utilization, margins, and on-time performance. The role requires technical credibility in complex SaaS delivery, strong vendor management, and regular international travel from Sydney.

Build and operate end-to-end machine learning pipelines, including training, evaluation, deployment, monitoring, and model serving. Automate CI/CD, infrastructure provisioning, and reproducible environments; manage distributed GPU training across cloud and on-premises platforms; and maintain reliable, scalable inference services. Improve ML tooling, monitor production health, troubleshoot failures, and support deployment of multimodal geospatial models into customer environments.

Develop machine learning and deep learning models that digitize electricity infrastructure from LiDAR, imagery, GIS, and vector data. Build scalable training, serving, QA, and monitoring pipelines; identify data and distribution drift; improve model deployment speed; and apply MLOps best practices. The role also involves defining ML strategies, solving ambiguous problems, collaborating asynchronously across functions, and mentoring junior engineers.

Hands-on accounting role supporting Australian and UK entities: manage AP, employee expenses, weekly bank reconciliations, monthly payroll (STP), BAS preparation, month-end tasks, and fixed asset register. Work closely with the Financial Controller in a fast-growth technology environment.

Lead design and operation of Neara's ML platform: roadmap for training pipelines, distributed compute, model serving, experiment management, and monitoring. Build tooling to accelerate research-to-production, optimise performance (including custom CUDA/sparse tensors), and enable scalable, secure deployments across cloud and on‑prem environments while mentoring ML engineers.