Description

Machine Learning Subject Matter Expert

TENICA is hiring a Machine Learning SME.

Job Location: Bethesda, MD

Security clearance is preferred.

Candidate must have subject matter expertise in computer vision and machine/deep learning.

• 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 (l) 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
• Experience in the Intelligence Community (IC) or Department of Defense (DOD), including experience with requirements, CONOPS and research technology transition

Desired Expertise

The following are relevant and strongly desired qualifications for the technical SETA:

• 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
• Computer vision experience in video-based reidentification or reidentification component technologies including object detection, tracking and whole body identification