Raytheon Scientist 1 - Machine Learning in Cambridge, Massachusetts
Do you want to perform research for next-next generation technology? Do you have machine learning (ML) skills, experience in applying ML to various applications, teamwork skills and intellectual curiosity? If so, BBN Technologies (a wholly-owned subsidiary of Raytheon) would like to hear from you. We are seeking qualified research scientists to apply ML techniques to wireless communication, networking and cybersecurity research projects involving distributed optimization and coordination, resource allocation, and accurate modeling and identification of complex adversarial environments. You will develop learned models for communications and networking domains such as cognition, autonomy, signal characterization and identification, anomaly detection, fault diagnosis, and repair. Research experience in networking and communications technologies such as software defined radios, networking protocols, network security, mobility, and/or RF communication systems is desirable. Strong implementation skills in languages such as C, Python, or Java also very important. Successful candidates must have skills supporting the acquisition of new R&D funding such as writing white papers, making presentations to customers, and contributing to proposals. Raytheon BBN offers a flexible work environment and part-time work opportunities. We encourage career development through support for publications and participation in leading research conferences, on-site training, mentoring, and tuition reimbursement. BBN prides itself in being a research organization where we do cutting-edge and fundamental research in collaboration with our numerous academia partners, while featuring an opportunity to transition accomplished research technologies into actual DoD programs via Raytheon contracts. Education: PhD degree in Computer Science or Electrical Engineering or Mathematics with 0-3 years of experience. Requirements: Experience in Machine Learning is desired. Thorough understanding of Neural Networks and Data-driven learning techniques, and where they are applicable (and where they are not) is expected. Experience with other Artificial Intelligence technologies (Knowledge Engineering, Planning and Scheduling, Distributed AI and Multi-agent systems, or Game Theory) is a plus. Experience in research, simulation and/or analysis, and implementation within one or more of the networking domain areas listed above is highly desirable. U.S citizenship or Permanent Residency is required. This position requires a U.S. person or the ability to obtain an Export Authorization from the appropriate government agency for non-U.S. persons. 123509
Raytheon is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.