Principal Machine Learning Engineer (EO/IR Image Analysis)
Rocket Lab · Tucson, AZ
About this role
**Principal Machine Learning Engineer (EO/IR Image Analysis)** **About Rocket Lab** Rocket Lab is the end-to-end space company building rockets, spacecraft, and critical subsystems that keep the world connected, protected, and expanding humanity’s reach to the Moon, Mars, and beyond. We move fast, build real hardware for meaningful missions, and make the impossible routine. **Space Systems** Rocket Lab’s Space Systems division builds complete spacecraft and precision payloads to the components and subsystems that help them thrive in space—including solar panels, flight software, star trackers, optical systems, separation systems, and radios. With experience enabling more than 1,700 missions, we support bold and ambitious space missions across interplanetary exploration, in-space manufacturing, and national security and defense initiatives. **Role Overview** Rocket Lab Optical Systems solves mission-critical space domain and Intelligence, Surveillance, and Reconnaissance challenges for Department of Defense and Intelligence Community customers. As a **Principal Machine Learning Engineer** in **Tucson, AZ**, you will support **Tranche 3 of the U.S. Space Development Agency’s (SDA) Proliferated Warfighter Space Architecture (PWSA)** and beyond by building deep learning neural networks for **advanced Electro-Optical (EO/IR) image processing**. **What you’ll do** - Contribute your experience to developing solutions for real-world problems - Design, train, and deploy machine learning models for Optical Systems applications - Build and maintain ML pipelines for data ingestion, feature engineering, training, and inference - Collaborate with other researchers/engineers on artificial intelligence, machine learning, and computer vision - Perform rapid prototyping and enhanced development to be integrated into operational systems - Perform troubleshooting, bug fixes, and maintenance of existing and new systems - Stay current with ML research and evaluate new tools, frameworks, and techniques *Note: The provided job description appears truncated after the “What we’re looking for…” section.*
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