Perceptive Space Systems · Canada
About Perceptive Space
Perceptive Space is an AI and aerospace company building space environment intelligence for commercial, civil, and defence operators.
We are building AI-powered space weather forecasting and decision intelligence systems for satellite operators, launch providers, defence and national security customers, and other space infrastructure teams. Our goal is to help customers respond to space environment conditions that affect satellite operations, mission design, launch planning, orbital performance, and mission resilience.
About the Role
This is an early-stage startup role. Priorities will change, we move quickly, and urgency matters. We are looking for someone who is energized by high ownership, high expectations, and the pace required to be part of an ambitious company. This role sits at the intersection of research, engineering, and product. One day, you may be reading papers and helping develop foundational AI models for the space environment. The next day, you may be optimizing a production ML pipeline to ensure customers receive accurate, reliable, and operationally useful forecasts. The position is fully remote (in Canada only).
What You’ll Do
Build, improve, and ship AI models for space environment forecasting and operational decision support. Improve existing models, develop new ones where needed, and move promising experiments into production. Apply modern deep learning techniques to sequential, temporal, scientific, and sensor datasets. Use AI-assisted coding tools, automation, and modern development workflows to move faster, debug faster, test better, and accelerate experimentation. Turn new research ideas into working systems quickly. Improve ML pipelines so models are easier to train, evaluate, deploy, monitor, and maintain. Define practical evaluation strategies, validation workflows, and performance metrics for operational AI systems. Communicate decisions, results, tradeoffs, risks, and next steps clearly and of …truncated… or other per…
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