Aerospace Machine Learning Group Lead
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Aurora Flight Sciences is a world leader in the development of highly autonomous aircraft. Our mission is to apply autonomy and robotics to the development, production, and operation of advanced aircraft. We aim to change the way we travel.
Aurora frequently achieves what others cannot due to a combination of experience, persistence, collaboration, and a culture of innovation. Projects are ambitious, risky, and fast paced. We apply breakthrough technologies to create a new state of the art, rather than advancing the old one. This is your chance to make history with us. We are seeking experts and explorers across the lifecycle of vehicle development. Cross-disciplinary interests are strongly desired; we love people that combine world-class expertise with a diverse background and interesting hobbies.
The Aerospace Machine Learning Group is part of the Autonomy Division at Aurora Flight Sciences’ Research and Development Center in Cambridge, MA. The Aerospace Machine Learning Group houses Aurora’s expertise in machine learning and data mining from supervised learning using reinforcement, active, and structured prediction to unsupervised learning; as well as, pushing the boundary in transfer learning and lifelong learning for use in cutting-edge autonomous aircraft and multi-vehicle systems.
The Aerospace Machine Learning Group Lead ensures the highest level of capability, consistency and quality in machine learning and data mining across Aurora. The Group Lead is responsible for maturing the company’s technical capabilities and methods (processes, tools, organization, etc.) in their area, and responsible for leading individual contributors to envision, develop, test, modify, and deliver practical solutions to technical problems.
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