Principal Machine Learning Engineer

• Bachelor’s degree and 12+ years of experience, master’s degree or a Ph.D. in Computer Science, Electrical and Computer Engineering, Mechanical Engineering, Physics, or related field. \n

• Strong background in math and fundamentals of machine learning, including model selection, architecting, training, validation, testing, and deployment \n

• Experience in building deep learning neural networks (e.g., CNN) for computer vision, image processing, or analyses, e.g., object detection, image segmentation, and tracking) \n

• Strong math background, particularly linear algebra and optimization theory \n

• Proficiency in Python \n

• Experience with deep learning libraries (Keras, TensorFlow, Pytorch, etc) \n

• Software engineering fundamentals: version control, testing, CI/CD, containerization \n

• U.S. citizenship is required due to program requirements. \n

• Ability to obtain and maintain a U.S. Government Security Clearance. \n

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• Develop computer vision algorithms and deep neural networks for image and video processing chains. \n

• Collaborate with other researchers/engineers on artificial intelligence, machine learning, and computer vision. \n

• Work with physics-based image simulation frameworks to scale training and validation data. \n

• Design, train, and deploy machine learning models for Optical Systems applications. \n

• Preform rapid prototyping and enhanced development to be integrated into operational systems. \n

• Perform troubleshooting, bug fixes, and maintenance of existing and new systems. \n

• Stay current with ML research and evaluate new tools, frameworks, and techniques. \n

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• Experience curating quality, real-world datasets for training deep learning models. \n

• TS/SCI security clearance. \n

• This position may require prolonged periods of sitting, standing, walking, computer work, and occasional exposure to moderate levels of noise, dust, and fumes in production areas. \n

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This position may require prolonged periods of sitting, standing, walking, computer work, and occasional exposure to moderate levels of noise, dust, and fumes in production areas.

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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.