
About Applied Computing Founded in 2024, Applied Computing is on a mission to deliver sustainable abundance for a growing planet through AI built for the energy industry. Energy is an enduring necessity it powers our planet. Yet its complexity has kept the industry tethered to legacy systems, with critical decisions made on less than 10% of available data. We built Orbital to change that. Orbital is a Multi-Foundation AI system that enables energy companies to finally trust AI in the control roo
Job Description Orbital is a physics-grounded AI copilot that operates complex industrial systems such as refineries, upstream assets, and energy-intensive plants. It combines realtime time-series forecasting, physics-based models, and domain-trained language models to deliver interpretable insights, anomaly detection, and optimisation pathways directly to operations teams. As a Forward Deployed ML Engineer , your job is to make Orbital’s AI systems work in customer reality. You will deploy, con
Job Description Orbital is a physics-grounded AI copilot that operates complex industrial systems such as refineries, upstream assets, and energy-intensive plants. It combines realtime time-series forecasting, physics-based models, and domain-trained language models to deliver interpretable insights, anomaly detection, and optimisation pathways directly to operations teams. As a Forward Deployed Full Stack Engineer, your job is to make Orbital work in the real world. You will deploy, configure,
Job Description About Applied Computing Applied Computing builds Orbital, a physics-informed foundation model for energy operations. Orbital combines the precision of deep learning with the explainability of physics to help operators across refineries, upstream assets, and petrochemical plants make better decisions, faster. We deploy at some of the largest and most complex energy facilities on the planet. We came out of stealth less than a year ago and have already secured major enterprise deplo