Machine Learning Engineer Space & Satellite

Our client is a pioneering technology company delivering laser communications and temporospatial software-defined networking platforms to the aerospace and space industry. Leveraging technology originally developed at a major global tech firm, they are leading innovation in satellite, airborne, cislunar, and deep-space mesh networks.

They are transforming how planetary-scale networks are orchestrated and managed across land, sea, air, and space.

The Role

Our client is looking for a Machine Learning Engineer to join their Spacetime team. This is a hybrid role combining ML research and engineering, focused on solving some of the most complex temporospatial networking and resource management problems in the industry.

Youll work at the cutting edge of AI-driven networking and space systems, collaborating with engineers, researchers, and customers globally.

Key Responsibilities

Research and develop state-of-the-art ML algorithms for network orchestration
Build and manage ML training infrastructure using Kubernetes and MLOps tools
Develop and maintain documentation for new algorithms and systems
Integrate AI/ML solutions into the wider Spacetime platform
Act as a technical expert when engaging with customers on ML technologies

Required Skills & Experience

MSc or PhD in Computer Science, Machine Learning, Mathematics, St...