Senior Autonomy Systems Research Scientist

Responsibilities

• develop a research agenda and lead/conduct research in support of critical U.S. government needs
• lead novel research in applied machine learning and robotics
• lead interdisciplinary teams to turn research results into prototype operational capabilities for government customers and stakeholders
• actively participate with researchers, developers, engineers, designers, technical leads, campus labs, and government customers to understand challenges, needs, and potential solutions
• mentor and teach junior staff, lead technical sessions, and contribute to the establishment of technical norms for the Lab
• maintain awareness of the latest in AI-enabled autonomous systems, especially pertaining to National Security use cases
• develop and deliver compelling technical presentations for diverse audiences, tailor content for varied stakeholders, speak at conferences and workshops, and publish in pertinent peer-reviewed journals

• BS in Robotics, Computer Science, Machine Learning, Electrical Engineering, or related discipline with ten (10) years of experience; OR MS in the same fields with eight (8) years of experience; OR PhD in the same fields with five (5) years of experience.
• A published track record of conducting machine learning and robotics research and applying scientific methods
• Experience leading research projects and collaborating across research teams and stakeholders
• Strong written and verbal communication skills; demonstrated ability to convey complex technical ideas to diverse audiences
• Experience writing and delivering successful research proposals to funding agencies and leading the resulting projects
• Experience with programming languages such as Python, C/C++, and other pertinent languages and frameworks
• Familiarity with state of practice, emerging trends and opportunities in industry and government focusing on maritime, land, or space domains
• Experience working with Department of War and Intelligence Community preferred

Demonstrates expertise in applied machine learning and robotics, with a strong focus on developing research agendas and leading interdisciplinary teams to create operational capabilities for government needs. Proven ability to communicate complex technical concepts effectively to diverse audiences and mentor junior staff.