JOB TITLE: Sr. Researcher - GeoInt AI/ML Enabled Spatiotemporal Imagery

LOCATION: Bethesda, Maryland

CLEARANCE: MUST process current TS/SCI with polygraph

PROGRAM GOAL: Aims to develop re-identification methods that autonomously associate objects across diverse, non-collaborative, video sensor footage, to distill raw pixel data into spatiotemporal motion vectors, providing the ability to analyze these patterns for anomalies and threats. This includes the creation of models of "normal" human movement across times, locations, and people in order to characterize what makes an activity detectable as anomalous within the expanding corpus of global human trajectory data.

JOB RESPONSIBILITIES:
a) Primary responsibility is to serve as the SME (Subject Matter Expert) / SETA (Scientific, Engineering, and Technical Assistance) for the Program.
b) Attend meetings, workshops, conferences and testing events as a Subject Matter Expert.
c) Assist with the development of presentations such as Program Management Reviews.
d) Serve as a Liaison between Performers, Test & Evaluation contributors, Government and Transition partners.
e) Review, provide analysis, and make recommendations concerning technical reports, data and Performer approaches.
f) Examine data sources and literary sources for emerging technology related to the Program.
g) Provide technical support and expertise on new concepts (seedlings) beyond the Program within areas of expertise.
h) Knowledge of development and testing tools for Program.
i) May work to define collections/storage cloud architectures for the Program.
j) Other tasking as assigned (e.g. you may provide technical review of similar Programs).

REQUIRED EXPERTISE:
• Bachelors' degree in physics, mathematics, computer science, or relevant engineering fields (e.g. electrical, computer, systems, software) with eight plus (8+) years of work experience, or Masters' degree with four plus (4+) years of work experience, or PhD with two plus (2+) years of work experience. PhD is desirable, but not absolutely required if work experience provides depth and breadth of technical understanding and evidence of problem-solving capability equivalent to what would be expected for a PhD.
• Five (5) years of experience in computer vision R&D.
• Two (2) years of experience with R&D of machine learning and deep learning algorithms.
• One (1) year of experience managing a multi-disciplinary research and development (R&D) or Test and Evaluation (T&E) team.
• Two (2) years of experience creating program plans, work breakdown structures, and milestone schedules.
• Excellent writing and editing skills. Ability to develop succinct, comprehensive, understandable documents using complex data from multiple sources.
• Excellent slide development and PowerPoint skills. Ability to visually communicate complex ideas at a high level for technically savvy, but non-expert audiences.
• Strong organizational, problem solving, and time management skills. Must be detail oriented.
• Ability to proactively manage multiple, concurrent tasks.
• At least 4 of the qualifications listed in Desired Expertise.
• Experience in the Intelligence Community (IC) or Department of Defense (DoD), including experience with requirements, CONOPS and research technology transition.

DESIRED EXPERTISE (in order of importance):
• Experience with architectures to support large spatiotemporal data management and processing.
• Experience with the institutional review board (IRB) process for human subjects' research and IRB approved video collection.
• Experience with development in the Open Media Processing Framework (OpenMPF).
• Experience with deployment of computer vision analytics in a large-scale framework.
• Experience managing/performing large-scale video collection, curation and annotation.
• Experience with video collection from fixed security/surveillance, airborne (e.g. drone, UAV), and ground mobile (e.g. cell phone, auto mounted, etc.) video sensors.
• Experience with image or video frame geo-localization.