Senior Machine Learning Engineer I

ABOUT ROCKET LAB

Rocket Lab is an end-to-end space company delivering responsive launch services, complete spacecraft design and manufacturing, payloads, satellite components, and more – all with the goal of opening access space. The rockets and satellites we build, and launch enable some of the most ambitious and vital space missions globally, supporting scientific exploration, Earth observation and missions to combat climate change, national security, and exciting new technology demonstrations.  

Our Electron rocket has become the second most frequently launched U.S. rocket annually and has delivered more than 230 satellites to orbit, all while we work to develop Neutron, our upcoming medium-lift, reusable launch vehicle for larger constellation deployment. Our Space Systems business designs and builds our extensive line of satellites, payloads, and their components, including spacecraft that have been selected to support NASA missions to the Moon and Mars and components used on the James Webb Space Telescope. 

SPACE SYSTEMS

At Rocket Lab, we’re not just launching rockets — we're building the future of space. Our Space Systems team builds everything from complete spacecraft, precision payloads to the components and subsystems that allow them to thrive in space, like solar panels, flight software, star trackers, optical systems, separation systems, radios, and more.

Our Space Systems team has enabled more than 1,700 missions, ranging from interplanetary exploration, in-space manufacturing to national security and defense initiatives. The team has 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 them get to space — our world class Space Systems team is empowering some of the boldest and most ambitious space missions.

SENIOR MACHINE LEARNING ENGINEER I

Rocket Lab’s Optical Systems division solves mission-critical space domain and Intelligence, Surveillance, and Reconnaissance (ISR) challenges for Department of Defense (DoD) and Intelligence Community (IC) 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, Optical Systems delivers solutions to the warfighter for responsive, scalable sensing solutions across all orbital domains.

As a Senior Machine Learning Engineer I based at our Optical Systems sites in Chantilly, VA, you will have the opportunity to support Tranche 3 of the U.S. Space Development Agency's (SDA) Proliferated Warfighter Space Architecture (PWSA) with advanced machine learning and computer vision neural networks.

WHAT YOU’LL GET TO DO

• Collaborate with researchers on artificial intelligence, machine learning, and computer vision.
• Preform rapid prototyping and enhanced development to be integrated into operational systems.
• Contribute programming ability and experience to develop solutions for real-world problems.
• Validate, tune, test, and deploy advanced neural networks and algorithms.
• Perform troubleshooting, bug fixes, and maintenance of existing and new code to ensure stability.
• Ability to support travel or off-site work, as needed

YOU’LL BRING THESE QUALIFICATIONS AS SENIOR MACHINE LEARNING ENGINEER I:

• Bachelor’s degree in computer science or computer engineering or equivalent discipline with 5-8 years of experience
• Experience in machine learning and image processing
• Ability to obtain and maintain an U.S. Government Security Clearance

THESE QUALIFICATIONS WOULD BE NICE TO HAVE: 

• Proficiency in C++ or Python 3
• Experience with deep learning libraries (PyTorch and TensorFlow)
• Experience across the deep learning life cycle, including model selection, training, validation, testing, and deployment.
• Understanding of computer vision approaches, such as object detection, image segmentation, re-Identification, tracking, and super resolution
• Machine learning experience with 3-D data.
• Experience curating quality, real-world datasets for training deep learning models

ADDITIONAL REQUIREMENTS:

• Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception, and the ability to focus
• Regularly required to sit, use hands and fingers, operate computer keyboard and controls, and communicate verbally