Senior Machine Learning Engineer II (EO/IR Image Analysis)

Rocket Lab Corporation; Long Beach (CA); On-site; USD 140,000 - 200,000; Full time

Job summary

Rocket Lab in Long Beach, CA is seeking a Senior Machine Learning Engineer II to advance deep learning for EO/IR image processing within the Space Systems division. You’ll work on mission-critical sensing challenges and contribute to cutting-edge optical systems.

Responsibilities include designing, training, and deploying ML models, building robust data pipelines, and collaborating with researchers and engineers on AI, ML, and computer vision.

Qualifications

• Experience designing and deploying deep learning models for image processing.
• Ability to build and maintain ML pipelines for ingestion, training and inference.
• Strong collaboration with research and engineering teams in AI/ML and CV.

Responsibilities

• Contribute to developing solutions for real-world space-domain 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 researchers/engineers on AI, ML, and computer vision.
• Prototype rapidly and integrate results into operational systems.
• Troubleshoot and maintain existing and new systems.
• Stay current with ML research and evaluate new tools and techniques.

Skills

ML design

ML training

ML deployment

Data pipelines

Collaboration

Job description

Long Beach, CA

Rocket Lab is the end-to-end space company building rockets, spacecraft, and critical subsystems that keep the world connected, protected, expand humanity’s reach to the Moon, Mars, and beyond. We move fast, build real hardware for meaningful missions, and make the impossible routine. Come shape the future with us.

SPACE SYSTEMS

Rocket Lab’s Space Systems division builds complete spacecraft, precision payloads to the components and subsystems that allow them to thrive in space including solar panels, flight software, star trackers, optical systems, separation systems, and radios.

The Space Systems division has enabled more than 1,700 missions, ranging from interplanetary exploration, in-space manufacturing to national security and defense initiatives. We have built spacecraft, payloads, and components for missions to the Moon and Mars, working with partners including NASA, the Space Development Agency, and the U.S. Space Force. Whether it’s a single high-performance spacecraft, constellation, or the vertically integrated components that help get to space — our Space Systems division is empowering the boldest and most ambitious space missions.

SENIOR MACHINE LEARNING ENGINEER II

Rocket Lab Optical Systems solves mission-critical space domain and Intelligence, Surveillance, and Reconnaissance challenges for Department of Defense and Intelligence Community customers. Our vision is to revolutionize the space-based payload market with innovative and novel designs for space, terrestrial, and airborne environments. Building on more than 20 years of electro-optical and infrared systems innovation from Geost, Rocket Lab Optical Systems delivers solutions to the warfighter for responsive, scalable sensing solutions across all orbital domains.

As a Senior Machine Learning Engineer II for Rocket Lab Optical Systems in Long Beach, CA, you will have the opportunity to 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.
• Preform 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

WHAT WE’RE LOOKING FOR IN A SENIOR MACHINE LEARNING ENGINEER II