Machine Learning Scientist

Perceptive Space is a Canadian aerospace startup dedicated to enhancing the safety and reliability of space operations through advanced artificial intelligence. Founded in 2022, the company is developing an AI-powered platform to deliver precise and timely space weather predictions. Space weather, which encompasses phenomena like solar flares, geomagnetic storms, and radiation, poses significant risks to satellites, communication systems, and terrestrial power grids. Current forecasting models, often provided by government agencies, can lack the accuracy, lead times, and actionable intelligence required for modern, large-scale space endeavors. Perceptive Space aims to bridge this gap by leveraging AI and sensor fusion to analyze vast amounts of historical and real-time data from public and private sources. This innovative approach has demonstrated a tenfold improvement in accuracy, speed, and reliability over traditional models at the bench scale.

The company's mission is to make humanity resilient to the harsh and dynamic space environment. By providing hyperlocal predictions and asset-specific decision intelligence, Perceptive Space empowers satellite operators and launch providers to proactively manage risks, thereby extending mission lifetimes and minimizing operational downtime and service interruptions. Their platform is designed for seamless integration into existing workflows through user-friendly APIs and dashboards. The team comprises seasoned experts in space weather, machine learning, and aerospace engineering with backgrounds from prestigious institutions like NASA, Los Alamos National Labs, and MIT. With the backing of prominent investors in the AI and space tech sectors, Perceptive Space is poised to support the next generation of space exploration and commercialization, ensuring that as humanity's presence in space grows, it does so safely and sustainably. The company is remote-first, with a team distributed across Canada and the United States.