Machine Learning Engineer - Product

Cognitive Space uses the power of AI to help organizations forecast, optimize, and orchestrate their satellite constellations.

You are skilled in machine learning (ML) development, and data science, and interested in building intelligent space systems to modernize satellites' operations. For this role, you should be ready to work in a fast-paced, dynamic, startup environment. You will be our ML engineer, integrating new research, and deploying ML models to production. You have professional experience deploying and monitoring ML models in production environments and stay updated with the field's latest developments. You must be comfortable taking ideas from theory into deployment. You will also:

• Own, train, build and deploy cutting edge, deep learning models for satellite mission planning, and other aerospace applications.
• Break down business objectives and design models that help to achieve them, along with metrics to track their progress.

• Deploy ML models to production continuously and at scale to support a disparate customer base.
• Version ML models per use-case and customer, and track baseline performance metrics.
• Manage hardware resources for production and development environments.

• Monitor production ML models, analyze performance and improve product performance.
• Collaborate with aerospace domain experts, and software developers to understand customer needs, and produce excellent products.