Share Email Opening Title Machine Learning Engineer  Category Engineering   Description The Video & Image Understanding Group develops and applies cutting-edge computer vision and deep learning techniques to solve problems in object detection, recognition, localization & tracking; biometrics; 3D scene reconstruction; threat detection; vision-aided navigation; and situational awareness. Our projects integrate algorithmic research, software engineering, and application system development to produce innovative capabilities that address challenging national security problems. We actively collaborate with research engineers across STR, as well as with academic researchers and industry partners to develop practical and powerful computer vision solutions. The Role: Develop, implement and evaluate machine learning algorithms to detect, segment, classify and track objects in diverse imaging modalities. Apply machine learning techniques to integrate information from multiple looks and multiple modalities to improve scene understanding capabilities. Develop and apply transfer learning and domain adaptation techniques to solve scene understanding problems where limited measured training data is available. Perform data analysis on experimental data and identify performance improvement strategies. Transition machine learning algorithms to prototype and/or real-time systems demonstrations.   Position Requirements Who You Are: BS, MS or PhD degree in Computer Science, Electrical Engineering, Applied Mathematics or related technical discipline Strong scientific software development skills Independent analytical problem-solving skills Experience in machine learning techniques, particularly deep learning Motivated collaborator and excellent communicator to both technical and non-technical audiences Some Other Relevant Skills You May Have: Experience with Python and C/C++ Experience in developing and applying machine learning techniques to solving computer vision problems   About the Organization Systems & Technology Research (STR) is a rapidly growing technology company with locations north of Boston, MA, Arlington, VA and near Dayton, OH. We specialize in advanced research and development for defense, intelligence, and national security, trying to understand how to protect our society: from stopping malicious botnet attacks, to understanding cyber vulnerabilities, providing next generation sensors, radar, sonar, communications, and electronic warfare to developing artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, but you go home at night knowing that you pushed the forefront of technology and made the world a little safer. We recognize that the world is changing, that it is becoming more connected than ever before, making things change faster than before, and reshaping society in the process. We all want to understand this changing world and leave it better for our work. We're not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe!   EOE Statement STR is fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at appassist@stresearch.com and provide your name, phone number and email address. US Citizenship is required for all positions.   This position is currently not accepting applications. To search for an open position, please go to http://SystemsTechnologyResearchLLC.appone.com

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